Project Part 2

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This notebook contains the code samples found in Chapter 3, Section 5 of Deep Learning with R. Note that the original text features far more content, in particular further explanations and figures: in this notebook, you will only find source code and related comments.

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Data Exploration & Preparation

• Our goal in the second part of the assignment is to predict how good a (new) customer will pay back their credit card depts. In the data set application data from current customers (the first 18 attributes) together with their status (last attribute; target) are given.
  
• The attributes from the applications are

Attribute Name	Explanation	Remarks
ID	Client	number
CODE_GENDER	Gender
FLAG_OWN_CAR	Is there a car
FLAG_OWN_REALTY	Is there a property
CNT_CHILDREN	Number of children
AMT_INCOME_TOTAL	Annual income
NAME_INCOME_TYPE	Income category
NAME_EDUCATION_TYPE	Education level
NAME_FAMILY_STATUS	Marital status
NAME_HOUSING_TYPE	Way of living
DAYS_BIRTH	Birthday	Count backwards from current day (0), -1 means yesterday
DAYS_EMPLOYED	Start date of employment	Count backwards from current day(0). If positive, it means the person unemployed.
FLAG_MOBIL	Is there a mobile phone
FLAG_WORK_PHONE	Is there a work phone
FLAG_PHONE	Is there a phone
FLAG_EMAIL	Is there an email
OCCUPATION_TYPE	Occupation
CNT_FAM_MEMBERS	Family size

• The last attribute status contains the “pay-back behavior”, i.e. when did that customer pay back their depts:
  • 0: 1-29 days past due
  • 1: 30-59 days past due
  • 2: 60-89 days overdue
  • 3: 90-119 days overdue
  • 4: 120-149 days overdue
  • 5: Overdue or bad debts, write-offs for more than 150 days
  • C: paid off that month
  • X: No loan for the month Please note: We are learning only the pay-back behavior. The decision, i.e. if we accept a customer or not, is done in another process step – not here!

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Main task

• Design your network. Why did you use a feed-forward network, or a convolutional or recursive network – and why not?
  
• Use k-fold validation (with k = 10) to find the best hyperparameters for your network.
• Use the average of the accuracy to evaluate the performance of your trained network.
• Find a “reasonable” good model. Argue why that model is reasonable. If you are not able to find a reasonable good model, explain what you all did to find a good model and argue why you think that’s not a good model.
  
• Save your trained neural network with save_model_hdf5. Also save your data sets you used for training, testing and validation.

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Some hints

• Data preprocessing is easier here; no feature engineering is needed.
• You may be able to reuse parts of the exercises we used in our examples during lectures.
• All in- and output values need to be floating numbers (or integers in exceptions) in the range of [0,1].
• Please note that a neural network expects a R matrix or vector, not data frames. Transform your data (e.g. a data frame) into a matrix with data.matrix if needed.
  
• There are some models which show an accuracy higher than 90% (!) for training (and test) data – after learning more than 1000 epochs.

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Important notes

• Single-label, Multiclass classification problem on page 73 in Deep Learning with R
• Spaces must be removed in between ‘{r}' and '’, else an error with ‘’ will be produced
• K-Fold Validation on page 83ff and 94ff in Deep Learning with R
• Page 110, use Last-Layer activation softmax and loss function categorical_crossentropy
• Convolutional network ausgeschlossen, weil hauptsächlich Pattern recognition/image classification
• Recursive ausgeschlossen, weil hauptsächlich für TimeSeries-Vorhersagen verwendet, oder für Vorhersagen
• Feed-Forward, weil Classification-Task

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Data import

#install.packages("tidymodels")
#install.packages("themis")
library(here)
library(tidyverse)
library(ggplot2)
library(dplyr)
library(tensorflow)
library(tfdatasets)
library(tidymodels)
library(keras)
library(caret)
library(themis)
#LOAD DATA
setwd(getwd())
dataIn = "../Data/Dataset-part-2.csv"
data_in <- read.csv(dataIn,header = TRUE, sep =',')
#View(data_in)
data <- data.frame(data_in)
summary(data)

       ID          CODE_GENDER        FLAG_OWN_CAR       FLAG_OWN_REALTY     CNT_CHILDREN     AMT_INCOME_TOTAL 
 Min.   :5008804   Length:67614       Length:67614       Length:67614       Min.   : 0.0000   Min.   :  26100  
 1st Qu.:5465941   Class :character   Class :character   Class :character   1st Qu.: 0.0000   1st Qu.: 112500  
 Median :5954270   Mode  :character   Mode  :character   Mode  :character   Median : 0.0000   Median : 157500  
 Mean   :5908133                                                            Mean   : 0.4206   Mean   : 178867  
 3rd Qu.:6289080                                                            3rd Qu.: 1.0000   3rd Qu.: 225000  
 Max.   :7965248                                                            Max.   :19.0000   Max.   :6750000  
 NAME_INCOME_TYPE   NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE    DAYS_BIRTH     DAYS_EMPLOYED   
 Length:67614       Length:67614        Length:67614       Length:67614       Min.   :-25201   Min.   :-17531  
 Class :character   Class :character    Class :character   Class :character   1st Qu.:-19438   1st Qu.: -2886  
 Mode  :character   Mode  :character    Mode  :character   Mode  :character   Median :-15592   Median : -1305  
                                                                              Mean   :-15914   Mean   : 62022  
                                                                              3rd Qu.:-12347   3rd Qu.:  -321  
                                                                              Max.   : -7489   Max.   :365243  
   FLAG_MOBIL FLAG_WORK_PHONE    FLAG_PHONE       FLAG_EMAIL     OCCUPATION_TYPE    CNT_FAM_MEMBERS 
 Min.   :1    Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Length:67614       Min.   : 1.000  
 1st Qu.:1    1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000   Class :character   1st Qu.: 2.000  
 Median :1    Median :0.0000   Median :0.0000   Median :0.0000   Mode  :character   Median : 2.000  
 Mean   :1    Mean   :0.2028   Mean   :0.2742   Mean   :0.1005                      Mean   : 2.174  
 3rd Qu.:1    3rd Qu.:0.0000   3rd Qu.:1.0000   3rd Qu.:0.0000                      3rd Qu.: 3.000  
 Max.   :1    Max.   :1.0000   Max.   :1.0000   Max.   :1.0000                      Max.   :20.000  
    status         
 Length:67614      
 Class :character  
 Mode  :character  
                   
                   
                   

plot(data$status)

##Cleanup

# Check for duplicates 
sum(duplicated(data))

[1] 0

# No duplicates

#Remove ID (irrelevant) and FLAG_MOBIL (always 1)
data <- data %>% select(-ID, -FLAG_MOBIL)
cols <- c("CODE_GENDER","FLAG_OWN_CAR","FLAG_OWN_REALTY","NAME_INCOME_TYPE","NAME_EDUCATION_TYPE", "NAME_FAMILY_STATUS", "NAME_HOUSING_TYPE","FLAG_WORK_PHONE","FLAG_PHONE","FLAG_EMAIL", "OCCUPATION_TYPE","status")
cols

 [1] "CODE_GENDER"         "FLAG_OWN_CAR"        "FLAG_OWN_REALTY"     "NAME_INCOME_TYPE"   
 [5] "NAME_EDUCATION_TYPE" "NAME_FAMILY_STATUS"  "NAME_HOUSING_TYPE"   "FLAG_WORK_PHONE"    
 [9] "FLAG_PHONE"          "FLAG_EMAIL"          "OCCUPATION_TYPE"     "status"             

data[cols] <- lapply(data[cols],factor)

# Replacing empty values with "Unknown"
levels(data$OCCUPATION_TYPE) <- c(levels(data$OCCUPATION_TYPE), "Unknown")
data$OCCUPATION_TYPE[is.na(data$OCCUPATION_TYPE)] <- "Unknown"

# Replacing C and X in Status
levels(data$status)[levels(data$status)=="C"] <- "6"
#data$status[data$status == "X"] <- 7
levels(data$status)[levels(data$status)=="X"] <- "7"
# #Convert factors into numericals
# data %<>% mutate_if(is.factor, as.numeric)

summary(data)

 CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY  CNT_CHILDREN     AMT_INCOME_TOTAL              NAME_INCOME_TYPE
 F:43924     N:43107      N:21090         Min.   : 0.0000   Min.   :  26100   Commercial associate:15640  
 M:23690     Y:24507      Y:46524         1st Qu.: 0.0000   1st Qu.: 112500   Pensioner           :11982  
                                          Median : 0.0000   Median : 157500   State servant       : 5044  
                                          Mean   : 0.4206   Mean   : 178867   Student             :    4  
                                          3rd Qu.: 1.0000   3rd Qu.: 225000   Working             :34944  
                                          Max.   :19.0000   Max.   :6750000                               
                                                                                                          
                    NAME_EDUCATION_TYPE            NAME_FAMILY_STATUS           NAME_HOUSING_TYPE
 Academic degree              :   38    Civil marriage      : 6016    Co-op apartment    :  227  
 Higher education             :16890    Married             :44906    House / apartment  :60307  
 Incomplete higher            : 2306    Separated           : 4125    Municipal apartment: 2303  
 Lower secondary              :  716    Single / not married: 9528    Office apartment   :  587  
 Secondary / secondary special:47664    Widow               : 3039    Rented apartment   : 1020  
                                                                      With parents       : 3170  
                                                                                                 
   DAYS_BIRTH     DAYS_EMPLOYED    FLAG_WORK_PHONE FLAG_PHONE FLAG_EMAIL    OCCUPATION_TYPE  CNT_FAM_MEMBERS 
 Min.   :-25201   Min.   :-17531   0:53904         0:49071    0:60819    Unknown    :20699   Min.   : 1.000  
 1st Qu.:-19438   1st Qu.: -2886   1:13710         1:18543    1: 6795    Laborers   :12425   1st Qu.: 2.000  
 Median :-15592   Median : -1305                                         Sales staff: 6899   Median : 2.000  
 Mean   :-15914   Mean   : 62022                                         Core staff : 6059   Mean   : 2.174  
 3rd Qu.:-12347   3rd Qu.:  -321                                         Managers   : 4950   3rd Qu.: 3.000  
 Max.   : -7489   Max.   :365243                                         Drivers    : 4427   Max.   :20.000  
                                                                         (Other)    :12155                   
     status     
 0      :52133  
 1      : 6491  
 7      : 5790  
 6      : 1805  
 2      :  712  
 5      :  374  
 (Other):  309  

Preprocessing

set.seed(1)
trainIndex <- initial_split(data, prop = 0.8, strata = status) 
trainingSet <- training(trainIndex)
testSet <- testing(trainIndex)
status_folds <- vfold_cv(trainingSet, v = 10, strata = status)
status_folds

#  10-fold cross-validation using stratification 

# Remove outliers (Out of 1.5x Interquartile Range) only on training set
# CNT_CHILDREN
boxplot(trainingSet$CNT_CHILDREN, horizontal=TRUE, main="CNT_CHILDREN")

Q1_Child <- quantile(trainingSet$CNT_CHILDREN, .25)
Q3_Child <- quantile(trainingSet$CNT_CHILDREN, .75)
IQR_Child <- IQR(trainingSet$CNT_CHILDREN)
# Now we keep the values within 1.5*IQR of Q1 and Q3
trainingSet <- subset(trainingSet, trainingSet$CNT_CHILDREN > (Q1_Child - 1.5*IQR_Child) & trainingSet$CNT_CHILDREN < (Q3_Child + 1.5*IQR_Child))
dim(trainingSet)

[1] 53330    17

# AMT_INCOME_TOTAL
boxplot(trainingSet$AMT_INCOME_TOTAL, horizontal=TRUE, main="AMT_INCOME_TOTAL")

Q1_AIT <- quantile(trainingSet$AMT_INCOME_TOTAL, .25)
Q3_AIT <- quantile(trainingSet$AMT_INCOME_TOTAL, .75)
IQR_AIT <- IQR(trainingSet$AMT_INCOME_TOTAL)
# Now we keep the values within 1.5*IQR of Q1 and Q3
trainingSet <- subset(trainingSet, trainingSet$AMT_INCOME_TOTAL > (Q1_AIT - 1.5*IQR_AIT) & trainingSet$AMT_INCOME_TOTAL < (Q3_AIT + 1.5*IQR_AIT))
dim(trainingSet)

[1] 51748    17

set.seed(5)
preprocRecipe <-
  recipe(status ~., data = data) %>%
  step_dummy(all_nominal(), -status,  one_hot = TRUE) %>%
  step_range(all_predictors(), -all_nominal(), min = 0, max = 1)%>%
 # step_downsample(status, over_ratio = 1) %>%
  step_smote(status, over_ratio = 1, skip=TRUE) %>%
 # step_smotenc(status, over_ratio = 1) %>%
 #step_adasyn(status, over_ratio = 1) %>%
 #step_nearmiss(status, over_ratio = 1) %>%
   
  step_dummy(status,  one_hot = TRUE)# %>%

In this step the above defined receipt is extracted using the prep() function, and then use the bake() function to transform a set of data based on that recipe.

# retain = TRUE and new_data = NULL ensures that pre-processed trainingSet is returned 
trainingSet_processed <- preprocRecipe %>%
  prep(trainingSet, retain = TRUE) %>%
  bake(new_data = NULL)
testSet_processed <- preprocRecipe %>%
  prep(testSet) %>%
  bake(new_data =testSet)

#summary(trainingSet_processed)

Check data

# summarize the class distribution
percentage <- 100-prop.table(table(data$status)) * 100
cbind(freq=table(data$status), percentage=percentage)

   freq percentage
0 52133   22.89615
1  6491   90.39992
2   712   98.94696
3   195   99.71160
4   114   99.83140
5   374   99.44686
6  1805   97.33043
7  5790   91.43668

class_weights <- list("0"=1,"1"=100)

# Turn data frame into data matrix
matrix_data <- trainingSet_processed %>% select(-tail(names(trainingSet_processed), 8))
matrix_targets <- trainingSet_processed %>% select(tail(names(trainingSet_processed), 8))

matrix_data_test  <- testSet_processed %>% select(-tail(names(testSet_processed), 8))
matrix_targets_test  <- testSet_processed %>% select(tail(names(testSet_processed), 8))

#Subset only 100 entries for testing
#matrix_data <- matrix_data[1:100, ]
#matrix_targets <- matrix_targets[1:100, ]

Build Model

#train_data <- matrix_data
train_data <- data.matrix(matrix_data)
test_data <- data.matrix(matrix_data_test)
train_targets <- data.matrix(matrix_targets)
test_targets <- data.matrix(matrix_targets_test)

# Function to build the model
build_model <- function() {
  model <- keras_model_sequential() %>%
    #layer_batch_normalization(axis = -1L, input_shape = dim(train_data)[[2]]) %>%
    layer_dense(units = 64, activation = "relu", input_shape = dim(train_data)[[2]]) %>%
    layer_dense(units = 64, activation = "relu") %>%
    #layer_dropout(0.3) %>%
    layer_dense(units = 64, activation = "relu") %>%
    layer_dense(units = 64, activation = "relu") %>%
    layer_dense(units = 64, activation = "relu") %>%
    layer_dense(units = 8, activation = "softmax") 

  model %>% compile(
    optimizer = optimizer_sgd(learning_rate = 0.2),
    loss = "categorical_crossentropy",
    metrics = "categorical_accuracy"
  )

}

K-Fold-Validation

k <- 2
indices <- sample(1:nrow(train_data))
folds <- cut(indices, breaks = k, labels = FALSE)

num_epochs <- 1500
all_acc_histories <- NULL
for (i in 1:k) {
  cat("processing fold #", i, "\n")

  val_indices <- which(folds == i, arr.ind = TRUE)
  val_data <- train_data[val_indices,] #test_data#
  val_targets <- train_targets[val_indices,] #test_targets#
  
  partial_train_data <- train_data[-val_indices,]
  partial_train_targets <- train_targets[-val_indices,]
  model <- build_model()

  # Train the model (in silent mode, verbose=0)
  # Batch size https://stats.stackexchange.com/questions/153531/what-is-batch-size-in-neural-network
  # One epoch = one forward pass and one backward pass of all the training examples
  # Batch size = the number of training examples in one forward/backward pass. The higher the batch size, the more memory space you'll need.
  # Number of iterations = number of passes, each pass using [batch size] number of examples. To be clear, one pass = one forward pass + one backward pass (we do not count the forward pass and backward pass as two different passes).
  # Batch size 32 much faster than 1, also the smaller the batch the less accurate the estimate of the gradient will be.
  history <- model %>% fit(
    partial_train_data, partial_train_targets,
    validation_data = list(val_data, val_targets),
    epochs = num_epochs, batch_size = 512, verbose = 2#, class_weights = percentage
  )
  acc_history <- history$metrics$val_categorical_accuracy
  all_acc_histories <- rbind(all_acc_histories, acc_history)
}

processing fold # 1 
Epoch 1/1500
313/313 - 3s - loss: 1.7642 - categorical_accuracy: 0.3360 - val_loss: 1.5024 - val_categorical_accuracy: 0.4325 - 3s/epoch - 9ms/step
Epoch 2/1500
313/313 - 2s - loss: 1.2226 - categorical_accuracy: 0.5395 - val_loss: 1.1103 - val_categorical_accuracy: 0.5840 - 2s/epoch - 7ms/step
Epoch 3/1500
313/313 - 2s - loss: 0.9867 - categorical_accuracy: 0.6307 - val_loss: 0.9418 - val_categorical_accuracy: 0.6463 - 2s/epoch - 7ms/step
Epoch 4/1500
313/313 - 2s - loss: 0.8277 - categorical_accuracy: 0.6895 - val_loss: 0.9620 - val_categorical_accuracy: 0.6530 - 2s/epoch - 7ms/step
Epoch 5/1500
313/313 - 2s - loss: 0.7116 - categorical_accuracy: 0.7317 - val_loss: 1.5668 - val_categorical_accuracy: 0.5342 - 2s/epoch - 7ms/step
Epoch 6/1500
313/313 - 2s - loss: 0.6610 - categorical_accuracy: 0.7555 - val_loss: 0.7485 - val_categorical_accuracy: 0.7174 - 2s/epoch - 7ms/step
Epoch 7/1500
313/313 - 2s - loss: 0.6688 - categorical_accuracy: 0.7588 - val_loss: 0.6872 - val_categorical_accuracy: 0.7455 - 2s/epoch - 6ms/step
Epoch 8/1500
313/313 - 2s - loss: 0.5958 - categorical_accuracy: 0.7843 - val_loss: 1.0814 - val_categorical_accuracy: 0.6534 - 2s/epoch - 7ms/step
Epoch 9/1500
313/313 - 2s - loss: 0.5342 - categorical_accuracy: 0.8045 - val_loss: 0.5379 - val_categorical_accuracy: 0.7979 - 2s/epoch - 8ms/step
Epoch 10/1500
313/313 - 3s - loss: 0.4885 - categorical_accuracy: 0.8196 - val_loss: 0.7979 - val_categorical_accuracy: 0.7065 - 3s/epoch - 8ms/step
Epoch 11/1500
313/313 - 2s - loss: 0.4569 - categorical_accuracy: 0.8318 - val_loss: 0.8230 - val_categorical_accuracy: 0.7308 - 2s/epoch - 8ms/step
Epoch 12/1500
313/313 - 2s - loss: 0.4345 - categorical_accuracy: 0.8404 - val_loss: 0.5731 - val_categorical_accuracy: 0.7929 - 2s/epoch - 8ms/step
Epoch 13/1500
313/313 - 2s - loss: 0.4651 - categorical_accuracy: 0.8353 - val_loss: 0.5967 - val_categorical_accuracy: 0.7723 - 2s/epoch - 8ms/step
Epoch 14/1500
313/313 - 2s - loss: 0.3963 - categorical_accuracy: 0.8535 - val_loss: 0.6002 - val_categorical_accuracy: 0.7934 - 2s/epoch - 8ms/step
Epoch 15/1500
313/313 - 2s - loss: 0.3872 - categorical_accuracy: 0.8592 - val_loss: 1.5525 - val_categorical_accuracy: 0.6440 - 2s/epoch - 7ms/step
Epoch 16/1500
313/313 - 2s - loss: 0.5470 - categorical_accuracy: 0.8169 - val_loss: 0.9640 - val_categorical_accuracy: 0.6935 - 2s/epoch - 8ms/step
Epoch 17/1500
313/313 - 2s - loss: 0.3873 - categorical_accuracy: 0.8592 - val_loss: 1.4939 - val_categorical_accuracy: 0.5984 - 2s/epoch - 8ms/step
Epoch 18/1500
313/313 - 2s - loss: 0.4032 - categorical_accuracy: 0.8588 - val_loss: 0.4382 - val_categorical_accuracy: 0.8424 - 2s/epoch - 8ms/step
Epoch 19/1500
313/313 - 2s - loss: 0.3473 - categorical_accuracy: 0.8739 - val_loss: 2.1977 - val_categorical_accuracy: 0.5480 - 2s/epoch - 8ms/step
Epoch 20/1500
313/313 - 2s - loss: 0.4206 - categorical_accuracy: 0.8568 - val_loss: 1.9103 - val_categorical_accuracy: 0.5767 - 2s/epoch - 7ms/step
Epoch 21/1500
313/313 - 2s - loss: 0.4190 - categorical_accuracy: 0.8585 - val_loss: 1.4177 - val_categorical_accuracy: 0.6444 - 2s/epoch - 8ms/step
Epoch 22/1500
313/313 - 2s - loss: 0.3506 - categorical_accuracy: 0.8774 - val_loss: 0.6377 - val_categorical_accuracy: 0.7966 - 2s/epoch - 8ms/step
Epoch 23/1500
313/313 - 2s - loss: 0.3116 - categorical_accuracy: 0.8871 - val_loss: 1.4049 - val_categorical_accuracy: 0.6429 - 2s/epoch - 7ms/step
Epoch 24/1500
313/313 - 2s - loss: 0.3219 - categorical_accuracy: 0.8861 - val_loss: 0.3794 - val_categorical_accuracy: 0.8634 - 2s/epoch - 7ms/step
Epoch 25/1500
313/313 - 2s - loss: 0.2975 - categorical_accuracy: 0.8931 - val_loss: 0.6595 - val_categorical_accuracy: 0.7827 - 2s/epoch - 8ms/step
Epoch 26/1500
313/313 - 2s - loss: 0.2916 - categorical_accuracy: 0.8957 - val_loss: 0.8306 - val_categorical_accuracy: 0.7577 - 2s/epoch - 7ms/step
Epoch 27/1500
313/313 - 2s - loss: 0.2894 - categorical_accuracy: 0.8968 - val_loss: 1.0687 - val_categorical_accuracy: 0.7375 - 2s/epoch - 8ms/step
Epoch 28/1500
313/313 - 2s - loss: 0.3045 - categorical_accuracy: 0.8944 - val_loss: 0.4901 - val_categorical_accuracy: 0.8290 - 2s/epoch - 8ms/step
Epoch 29/1500
313/313 - 2s - loss: 0.2733 - categorical_accuracy: 0.9020 - val_loss: 0.7116 - val_categorical_accuracy: 0.7703 - 2s/epoch - 8ms/step
Epoch 30/1500
313/313 - 2s - loss: 0.2678 - categorical_accuracy: 0.9033 - val_loss: 0.4857 - val_categorical_accuracy: 0.8350 - 2s/epoch - 8ms/step
Epoch 31/1500
313/313 - 2s - loss: 0.2649 - categorical_accuracy: 0.9059 - val_loss: 0.3519 - val_categorical_accuracy: 0.8747 - 2s/epoch - 8ms/step
Epoch 32/1500
313/313 - 2s - loss: 0.2568 - categorical_accuracy: 0.9085 - val_loss: 0.9871 - val_categorical_accuracy: 0.7545 - 2s/epoch - 7ms/step
Epoch 33/1500
313/313 - 2s - loss: 0.2613 - categorical_accuracy: 0.9077 - val_loss: 2.0157 - val_categorical_accuracy: 0.6010 - 2s/epoch - 8ms/step
Epoch 34/1500
313/313 - 2s - loss: 0.2934 - categorical_accuracy: 0.9010 - val_loss: 0.6409 - val_categorical_accuracy: 0.7863 - 2s/epoch - 7ms/step
Epoch 35/1500
313/313 - 3s - loss: 0.2472 - categorical_accuracy: 0.9127 - val_loss: 1.5538 - val_categorical_accuracy: 0.6856 - 3s/epoch - 8ms/step
Epoch 36/1500
313/313 - 2s - loss: 0.3135 - categorical_accuracy: 0.8967 - val_loss: 0.3916 - val_categorical_accuracy: 0.8646 - 2s/epoch - 8ms/step
Epoch 37/1500
313/313 - 2s - loss: 0.2394 - categorical_accuracy: 0.9149 - val_loss: 0.8095 - val_categorical_accuracy: 0.7732 - 2s/epoch - 8ms/step
Epoch 38/1500
313/313 - 2s - loss: 0.2411 - categorical_accuracy: 0.9137 - val_loss: 0.6821 - val_categorical_accuracy: 0.8127 - 2s/epoch - 8ms/step
Epoch 39/1500
313/313 - 2s - loss: 0.2390 - categorical_accuracy: 0.9155 - val_loss: 1.4315 - val_categorical_accuracy: 0.6549 - 2s/epoch - 7ms/step
Epoch 40/1500
313/313 - 2s - loss: 0.3209 - categorical_accuracy: 0.8971 - val_loss: 0.2885 - val_categorical_accuracy: 0.9005 - 2s/epoch - 7ms/step
Epoch 41/1500
313/313 - 2s - loss: 0.2251 - categorical_accuracy: 0.9203 - val_loss: 0.7432 - val_categorical_accuracy: 0.7914 - 2s/epoch - 7ms/step
Epoch 42/1500
313/313 - 2s - loss: 0.2241 - categorical_accuracy: 0.9207 - val_loss: 1.3833 - val_categorical_accuracy: 0.6717 - 2s/epoch - 7ms/step
Epoch 43/1500
313/313 - 2s - loss: 0.2439 - categorical_accuracy: 0.9161 - val_loss: 0.6327 - val_categorical_accuracy: 0.8535 - 2s/epoch - 8ms/step
Epoch 44/1500
313/313 - 2s - loss: 0.2199 - categorical_accuracy: 0.9224 - val_loss: 0.9865 - val_categorical_accuracy: 0.7424 - 2s/epoch - 7ms/step
Epoch 45/1500
313/313 - 2s - loss: 0.2230 - categorical_accuracy: 0.9219 - val_loss: 0.4003 - val_categorical_accuracy: 0.8579 - 2s/epoch - 7ms/step
Epoch 46/1500
313/313 - 2s - loss: 0.2149 - categorical_accuracy: 0.9236 - val_loss: 1.7007 - val_categorical_accuracy: 0.6269 - 2s/epoch - 7ms/step
Epoch 47/1500
313/313 - 2s - loss: 0.2368 - categorical_accuracy: 0.9194 - val_loss: 0.3409 - val_categorical_accuracy: 0.8814 - 2s/epoch - 7ms/step
Epoch 48/1500
313/313 - 2s - loss: 0.2077 - categorical_accuracy: 0.9264 - val_loss: 0.3280 - val_categorical_accuracy: 0.8893 - 2s/epoch - 7ms/step
Epoch 49/1500
313/313 - 2s - loss: 0.2036 - categorical_accuracy: 0.9275 - val_loss: 0.8830 - val_categorical_accuracy: 0.7675 - 2s/epoch - 8ms/step
Epoch 50/1500
313/313 - 2s - loss: 0.2132 - categorical_accuracy: 0.9250 - val_loss: 0.6520 - val_categorical_accuracy: 0.8093 - 2s/epoch - 7ms/step
Epoch 51/1500
313/313 - 2s - loss: 0.2017 - categorical_accuracy: 0.9290 - val_loss: 0.2822 - val_categorical_accuracy: 0.9064 - 2s/epoch - 7ms/step
Epoch 52/1500
313/313 - 2s - loss: 0.2039 - categorical_accuracy: 0.9272 - val_loss: 0.3960 - val_categorical_accuracy: 0.8699 - 2s/epoch - 7ms/step
Epoch 53/1500
313/313 - 2s - loss: 0.1940 - categorical_accuracy: 0.9312 - val_loss: 0.4952 - val_categorical_accuracy: 0.8504 - 2s/epoch - 7ms/step
Epoch 54/1500
313/313 - 2s - loss: 0.1961 - categorical_accuracy: 0.9305 - val_loss: 0.7854 - val_categorical_accuracy: 0.7559 - 2s/epoch - 7ms/step
Epoch 55/1500
313/313 - 2s - loss: 0.2006 - categorical_accuracy: 0.9297 - val_loss: 0.4859 - val_categorical_accuracy: 0.8433 - 2s/epoch - 7ms/step
Epoch 56/1500
313/313 - 2s - loss: 0.1922 - categorical_accuracy: 0.9315 - val_loss: 1.6803 - val_categorical_accuracy: 0.6757 - 2s/epoch - 7ms/step
Epoch 57/1500
313/313 - 2s - loss: 0.2194 - categorical_accuracy: 0.9258 - val_loss: 0.9938 - val_categorical_accuracy: 0.7334 - 2s/epoch - 7ms/step
Epoch 58/1500
313/313 - 2s - loss: 0.2002 - categorical_accuracy: 0.9303 - val_loss: 0.3376 - val_categorical_accuracy: 0.8861 - 2s/epoch - 7ms/step
Epoch 59/1500
313/313 - 2s - loss: 0.1871 - categorical_accuracy: 0.9337 - val_loss: 0.8796 - val_categorical_accuracy: 0.7586 - 2s/epoch - 8ms/step
Epoch 60/1500
313/313 - 2s - loss: 0.1890 - categorical_accuracy: 0.9332 - val_loss: 1.1925 - val_categorical_accuracy: 0.7423 - 2s/epoch - 8ms/step
Epoch 61/1500
313/313 - 2s - loss: 0.2100 - categorical_accuracy: 0.9283 - val_loss: 1.3589 - val_categorical_accuracy: 0.6579 - 2s/epoch - 8ms/step
Epoch 62/1500
313/313 - 2s - loss: 0.2010 - categorical_accuracy: 0.9310 - val_loss: 0.4752 - val_categorical_accuracy: 0.8587 - 2s/epoch - 7ms/step
Epoch 63/1500
313/313 - 2s - loss: 0.1797 - categorical_accuracy: 0.9364 - val_loss: 0.5501 - val_categorical_accuracy: 0.8385 - 2s/epoch - 7ms/step
Epoch 64/1500
313/313 - 2s - loss: 0.1847 - categorical_accuracy: 0.9349 - val_loss: 0.3267 - val_categorical_accuracy: 0.8907 - 2s/epoch - 8ms/step
Epoch 65/1500
313/313 - 2s - loss: 0.1735 - categorical_accuracy: 0.9386 - val_loss: 0.3220 - val_categorical_accuracy: 0.8967 - 2s/epoch - 7ms/step
Epoch 66/1500
313/313 - 2s - loss: 0.1760 - categorical_accuracy: 0.9378 - val_loss: 0.3187 - val_categorical_accuracy: 0.8912 - 2s/epoch - 7ms/step
Epoch 67/1500
313/313 - 2s - loss: 0.1767 - categorical_accuracy: 0.9375 - val_loss: 1.6397 - val_categorical_accuracy: 0.6813 - 2s/epoch - 7ms/step
Epoch 68/1500
313/313 - 2s - loss: 0.2246 - categorical_accuracy: 0.9274 - val_loss: 0.5466 - val_categorical_accuracy: 0.8307 - 2s/epoch - 8ms/step
Epoch 69/1500
313/313 - 2s - loss: 0.1759 - categorical_accuracy: 0.9385 - val_loss: 0.3816 - val_categorical_accuracy: 0.8772 - 2s/epoch - 7ms/step
Epoch 70/1500
313/313 - 2s - loss: 0.1716 - categorical_accuracy: 0.9386 - val_loss: 0.2692 - val_categorical_accuracy: 0.9133 - 2s/epoch - 7ms/step
Epoch 71/1500
313/313 - 2s - loss: 0.1682 - categorical_accuracy: 0.9405 - val_loss: 0.6838 - val_categorical_accuracy: 0.8049 - 2s/epoch - 7ms/step
Epoch 72/1500
313/313 - 2s - loss: 0.1769 - categorical_accuracy: 0.9382 - val_loss: 3.8817 - val_categorical_accuracy: 0.4263 - 2s/epoch - 7ms/step
Epoch 73/1500
313/313 - 2s - loss: 1.3671 - categorical_accuracy: 0.5589 - val_loss: 0.9465 - val_categorical_accuracy: 0.6466 - 2s/epoch - 7ms/step
Epoch 74/1500
313/313 - 2s - loss: 0.7029 - categorical_accuracy: 0.7370 - val_loss: 1.0160 - val_categorical_accuracy: 0.6364 - 2s/epoch - 7ms/step
Epoch 75/1500
313/313 - 2s - loss: 0.5732 - categorical_accuracy: 0.7868 - val_loss: 0.6812 - val_categorical_accuracy: 0.7504 - 2s/epoch - 7ms/step
Epoch 76/1500
313/313 - 2s - loss: 0.5075 - categorical_accuracy: 0.8119 - val_loss: 1.0250 - val_categorical_accuracy: 0.6847 - 2s/epoch - 7ms/step
Epoch 77/1500
313/313 - 2s - loss: 0.4697 - categorical_accuracy: 0.8266 - val_loss: 0.5443 - val_categorical_accuracy: 0.8010 - 2s/epoch - 7ms/step
Epoch 78/1500
313/313 - 2s - loss: 0.4326 - categorical_accuracy: 0.8403 - val_loss: 0.9993 - val_categorical_accuracy: 0.6734 - 2s/epoch - 7ms/step
Epoch 79/1500
313/313 - 2s - loss: 0.4139 - categorical_accuracy: 0.8488 - val_loss: 0.4861 - val_categorical_accuracy: 0.8215 - 2s/epoch - 7ms/step
Epoch 80/1500
313/313 - 2s - loss: 0.3891 - categorical_accuracy: 0.8578 - val_loss: 0.5597 - val_categorical_accuracy: 0.7831 - 2s/epoch - 7ms/step
Epoch 81/1500
313/313 - 2s - loss: 0.3749 - categorical_accuracy: 0.8634 - val_loss: 2.1814 - val_categorical_accuracy: 0.5078 - 2s/epoch - 7ms/step
Epoch 82/1500
313/313 - 2s - loss: 0.4101 - categorical_accuracy: 0.8574 - val_loss: 0.7274 - val_categorical_accuracy: 0.7511 - 2s/epoch - 7ms/step
Epoch 83/1500
313/313 - 2s - loss: 0.3489 - categorical_accuracy: 0.8730 - val_loss: 0.6258 - val_categorical_accuracy: 0.7873 - 2s/epoch - 7ms/step
Epoch 84/1500
313/313 - 2s - loss: 0.3397 - categorical_accuracy: 0.8765 - val_loss: 0.6482 - val_categorical_accuracy: 0.7835 - 2s/epoch - 7ms/step
Epoch 85/1500
313/313 - 2s - loss: 0.3275 - categorical_accuracy: 0.8817 - val_loss: 0.7739 - val_categorical_accuracy: 0.7553 - 2s/epoch - 7ms/step
Epoch 86/1500
313/313 - 2s - loss: 0.3207 - categorical_accuracy: 0.8841 - val_loss: 0.8453 - val_categorical_accuracy: 0.7327 - 2s/epoch - 8ms/step
Epoch 87/1500
313/313 - 2s - loss: 0.3175 - categorical_accuracy: 0.8857 - val_loss: 1.1003 - val_categorical_accuracy: 0.6803 - 2s/epoch - 8ms/step
Epoch 88/1500
313/313 - 2s - loss: 0.3104 - categorical_accuracy: 0.8885 - val_loss: 1.1480 - val_categorical_accuracy: 0.7053 - 2s/epoch - 7ms/step
Epoch 89/1500
313/313 - 2s - loss: 0.3161 - categorical_accuracy: 0.8882 - val_loss: 0.4872 - val_categorical_accuracy: 0.8293 - 2s/epoch - 7ms/step
Epoch 90/1500
313/313 - 3s - loss: 0.2910 - categorical_accuracy: 0.8950 - val_loss: 0.5833 - val_categorical_accuracy: 0.8007 - 3s/epoch - 8ms/step
Epoch 91/1500
313/313 - 2s - loss: 0.2887 - categorical_accuracy: 0.8963 - val_loss: 0.5312 - val_categorical_accuracy: 0.8233 - 2s/epoch - 8ms/step
Epoch 92/1500
313/313 - 2s - loss: 0.2813 - categorical_accuracy: 0.8987 - val_loss: 0.4401 - val_categorical_accuracy: 0.8485 - 2s/epoch - 7ms/step
Epoch 93/1500
313/313 - 2s - loss: 0.2787 - categorical_accuracy: 0.8994 - val_loss: 0.4048 - val_categorical_accuracy: 0.8567 - 2s/epoch - 7ms/step
Epoch 94/1500
313/313 - 2s - loss: 0.2723 - categorical_accuracy: 0.9021 - val_loss: 0.5378 - val_categorical_accuracy: 0.8203 - 2s/epoch - 8ms/step
Epoch 95/1500
313/313 - 2s - loss: 0.2687 - categorical_accuracy: 0.9027 - val_loss: 1.4290 - val_categorical_accuracy: 0.6429 - 2s/epoch - 8ms/step
Epoch 96/1500
313/313 - 2s - loss: 0.2815 - categorical_accuracy: 0.9003 - val_loss: 0.4837 - val_categorical_accuracy: 0.8369 - 2s/epoch - 7ms/step
Epoch 97/1500
313/313 - 2s - loss: 0.2634 - categorical_accuracy: 0.9052 - val_loss: 0.9706 - val_categorical_accuracy: 0.7390 - 2s/epoch - 8ms/step
Epoch 98/1500
313/313 - 2s - loss: 0.2718 - categorical_accuracy: 0.9042 - val_loss: 0.6865 - val_categorical_accuracy: 0.7922 - 2s/epoch - 7ms/step
Epoch 99/1500
313/313 - 2s - loss: 0.2574 - categorical_accuracy: 0.9080 - val_loss: 0.3898 - val_categorical_accuracy: 0.8682 - 2s/epoch - 7ms/step
Epoch 100/1500
313/313 - 2s - loss: 0.2500 - categorical_accuracy: 0.9104 - val_loss: 0.6913 - val_categorical_accuracy: 0.7868 - 2s/epoch - 7ms/step
Epoch 101/1500
313/313 - 2s - loss: 0.2498 - categorical_accuracy: 0.9105 - val_loss: 1.1515 - val_categorical_accuracy: 0.7552 - 2s/epoch - 7ms/step
Epoch 102/1500
313/313 - 2s - loss: 0.2700 - categorical_accuracy: 0.9063 - val_loss: 0.5666 - val_categorical_accuracy: 0.8180 - 2s/epoch - 7ms/step
Epoch 103/1500
313/313 - 2s - loss: 0.2439 - categorical_accuracy: 0.9131 - val_loss: 0.3484 - val_categorical_accuracy: 0.8797 - 2s/epoch - 8ms/step
Epoch 104/1500
313/313 - 2s - loss: 0.2398 - categorical_accuracy: 0.9143 - val_loss: 0.4659 - val_categorical_accuracy: 0.8408 - 2s/epoch - 7ms/step
Epoch 105/1500
313/313 - 2s - loss: 0.2361 - categorical_accuracy: 0.9151 - val_loss: 0.6842 - val_categorical_accuracy: 0.7882 - 2s/epoch - 7ms/step
Epoch 106/1500
313/313 - 2s - loss: 0.2374 - categorical_accuracy: 0.9144 - val_loss: 0.3928 - val_categorical_accuracy: 0.8665 - 2s/epoch - 7ms/step
Epoch 107/1500
313/313 - 2s - loss: 0.2304 - categorical_accuracy: 0.9178 - val_loss: 0.6103 - val_categorical_accuracy: 0.8092 - 2s/epoch - 7ms/step
Epoch 108/1500
313/313 - 2s - loss: 0.2325 - categorical_accuracy: 0.9167 - val_loss: 1.0961 - val_categorical_accuracy: 0.7121 - 2s/epoch - 7ms/step
Epoch 109/1500
313/313 - 2s - loss: 0.2546 - categorical_accuracy: 0.9118 - val_loss: 0.8618 - val_categorical_accuracy: 0.7513 - 2s/epoch - 7ms/step
Epoch 110/1500
313/313 - 2s - loss: 0.2322 - categorical_accuracy: 0.9176 - val_loss: 0.5620 - val_categorical_accuracy: 0.8098 - 2s/epoch - 7ms/step
Epoch 111/1500
313/313 - 2s - loss: 0.2266 - categorical_accuracy: 0.9195 - val_loss: 0.8577 - val_categorical_accuracy: 0.7968 - 2s/epoch - 7ms/step
Epoch 112/1500
313/313 - 2s - loss: 0.2264 - categorical_accuracy: 0.9194 - val_loss: 0.4425 - val_categorical_accuracy: 0.8569 - 2s/epoch - 8ms/step
Epoch 113/1500
313/313 - 2s - loss: 0.2207 - categorical_accuracy: 0.9211 - val_loss: 0.8075 - val_categorical_accuracy: 0.7891 - 2s/epoch - 8ms/step
Epoch 114/1500
313/313 - 2s - loss: 0.2251 - categorical_accuracy: 0.9200 - val_loss: 0.5756 - val_categorical_accuracy: 0.8170 - 2s/epoch - 8ms/step
Epoch 115/1500
313/313 - 2s - loss: 0.2242 - categorical_accuracy: 0.9210 - val_loss: 0.9681 - val_categorical_accuracy: 0.7359 - 2s/epoch - 8ms/step
Epoch 116/1500
313/313 - 2s - loss: 0.2313 - categorical_accuracy: 0.9186 - val_loss: 0.5331 - val_categorical_accuracy: 0.8351 - 2s/epoch - 8ms/step
Epoch 117/1500
313/313 - 2s - loss: 0.2180 - categorical_accuracy: 0.9218 - val_loss: 0.6067 - val_categorical_accuracy: 0.8260 - 2s/epoch - 8ms/step
Epoch 118/1500
313/313 - 3s - loss: 0.2193 - categorical_accuracy: 0.9219 - val_loss: 0.7454 - val_categorical_accuracy: 0.7784 - 3s/epoch - 8ms/step
Epoch 119/1500
313/313 - 3s - loss: 0.2202 - categorical_accuracy: 0.9225 - val_loss: 0.3231 - val_categorical_accuracy: 0.8892 - 3s/epoch - 8ms/step
Epoch 120/1500
313/313 - 2s - loss: 0.2070 - categorical_accuracy: 0.9266 - val_loss: 0.6389 - val_categorical_accuracy: 0.8068 - 2s/epoch - 8ms/step
Epoch 121/1500
313/313 - 2s - loss: 0.2112 - categorical_accuracy: 0.9246 - val_loss: 0.9014 - val_categorical_accuracy: 0.7604 - 2s/epoch - 8ms/step
Epoch 122/1500
313/313 - 2s - loss: 0.2161 - categorical_accuracy: 0.9241 - val_loss: 0.6987 - val_categorical_accuracy: 0.7957 - 2s/epoch - 8ms/step
Epoch 123/1500
313/313 - 3s - loss: 0.2068 - categorical_accuracy: 0.9261 - val_loss: 0.9120 - val_categorical_accuracy: 0.7435 - 3s/epoch - 8ms/step
Epoch 124/1500
313/313 - 3s - loss: 0.2065 - categorical_accuracy: 0.9262 - val_loss: 0.5332 - val_categorical_accuracy: 0.8537 - 3s/epoch - 8ms/step
Epoch 125/1500
313/313 - 2s - loss: 0.2058 - categorical_accuracy: 0.9273 - val_loss: 0.5602 - val_categorical_accuracy: 0.8296 - 2s/epoch - 8ms/step
Epoch 126/1500
313/313 - 3s - loss: 0.2060 - categorical_accuracy: 0.9271 - val_loss: 0.5919 - val_categorical_accuracy: 0.8127 - 3s/epoch - 8ms/step
Epoch 127/1500
313/313 - 2s - loss: 0.2037 - categorical_accuracy: 0.9270 - val_loss: 0.6280 - val_categorical_accuracy: 0.8221 - 2s/epoch - 8ms/step
Epoch 128/1500
313/313 - 3s - loss: 0.2038 - categorical_accuracy: 0.9275 - val_loss: 0.7388 - val_categorical_accuracy: 0.7979 - 3s/epoch - 8ms/step
Epoch 129/1500
313/313 - 2s - loss: 0.2044 - categorical_accuracy: 0.9275 - val_loss: 0.4562 - val_categorical_accuracy: 0.8578 - 2s/epoch - 8ms/step
Epoch 130/1500
313/313 - 2s - loss: 0.1960 - categorical_accuracy: 0.9308 - val_loss: 1.0943 - val_categorical_accuracy: 0.7605 - 2s/epoch - 8ms/step
Epoch 131/1500
313/313 - 2s - loss: 0.2287 - categorical_accuracy: 0.9231 - val_loss: 0.5965 - val_categorical_accuracy: 0.8478 - 2s/epoch - 8ms/step
Epoch 132/1500
313/313 - 2s - loss: 0.1919 - categorical_accuracy: 0.9320 - val_loss: 0.3599 - val_categorical_accuracy: 0.8788 - 2s/epoch - 8ms/step
Epoch 133/1500
313/313 - 3s - loss: 0.1911 - categorical_accuracy: 0.9317 - val_loss: 0.3545 - val_categorical_accuracy: 0.8848 - 3s/epoch - 8ms/step
Epoch 134/1500
313/313 - 2s - loss: 0.1933 - categorical_accuracy: 0.9311 - val_loss: 0.3345 - val_categorical_accuracy: 0.8938 - 2s/epoch - 8ms/step
Epoch 135/1500
313/313 - 3s - loss: 0.1893 - categorical_accuracy: 0.9323 - val_loss: 1.6013 - val_categorical_accuracy: 0.6550 - 3s/epoch - 8ms/step
Epoch 136/1500
313/313 - 3s - loss: 0.2132 - categorical_accuracy: 0.9271 - val_loss: 0.8217 - val_categorical_accuracy: 0.7829 - 3s/epoch - 8ms/step
Epoch 137/1500
313/313 - 3s - loss: 0.1952 - categorical_accuracy: 0.9312 - val_loss: 0.4944 - val_categorical_accuracy: 0.8502 - 3s/epoch - 8ms/step
Epoch 138/1500
313/313 - 3s - loss: 0.1926 - categorical_accuracy: 0.9311 - val_loss: 1.3088 - val_categorical_accuracy: 0.7462 - 3s/epoch - 8ms/step
Epoch 139/1500
313/313 - 2s - loss: 0.1961 - categorical_accuracy: 0.9314 - val_loss: 0.3863 - val_categorical_accuracy: 0.8829 - 2s/epoch - 8ms/step
Epoch 140/1500
313/313 - 2s - loss: 0.1862 - categorical_accuracy: 0.9339 - val_loss: 0.6241 - val_categorical_accuracy: 0.8338 - 2s/epoch - 8ms/step
Epoch 141/1500
313/313 - 3s - loss: 0.1886 - categorical_accuracy: 0.9327 - val_loss: 1.4371 - val_categorical_accuracy: 0.6957 - 3s/epoch - 8ms/step
Epoch 142/1500
313/313 - 3s - loss: 0.2040 - categorical_accuracy: 0.9305 - val_loss: 0.6748 - val_categorical_accuracy: 0.8135 - 3s/epoch - 8ms/step
Epoch 143/1500
313/313 - 2s - loss: 0.1885 - categorical_accuracy: 0.9333 - val_loss: 0.3141 - val_categorical_accuracy: 0.9033 - 2s/epoch - 8ms/step
Epoch 144/1500
313/313 - 2s - loss: 0.1838 - categorical_accuracy: 0.9353 - val_loss: 0.4211 - val_categorical_accuracy: 0.8712 - 2s/epoch - 8ms/step
Epoch 145/1500
313/313 - 2s - loss: 0.1824 - categorical_accuracy: 0.9348 - val_loss: 0.4217 - val_categorical_accuracy: 0.8742 - 2s/epoch - 7ms/step
Epoch 146/1500
313/313 - 2s - loss: 0.1932 - categorical_accuracy: 0.9336 - val_loss: 0.3099 - val_categorical_accuracy: 0.8972 - 2s/epoch - 7ms/step
Epoch 147/1500
313/313 - 2s - loss: 0.1782 - categorical_accuracy: 0.9358 - val_loss: 0.3125 - val_categorical_accuracy: 0.8989 - 2s/epoch - 8ms/step
Epoch 148/1500
313/313 - 2s - loss: 0.1767 - categorical_accuracy: 0.9375 - val_loss: 1.5353 - val_categorical_accuracy: 0.6971 - 2s/epoch - 7ms/step
Epoch 149/1500
313/313 - 2s - loss: 0.2130 - categorical_accuracy: 0.9287 - val_loss: 0.7862 - val_categorical_accuracy: 0.8238 - 2s/epoch - 7ms/step
Epoch 150/1500
313/313 - 2s - loss: 0.1957 - categorical_accuracy: 0.9322 - val_loss: 0.3962 - val_categorical_accuracy: 0.8751 - 2s/epoch - 7ms/step
Epoch 151/1500
313/313 - 2s - loss: 0.1760 - categorical_accuracy: 0.9377 - val_loss: 0.5126 - val_categorical_accuracy: 0.8449 - 2s/epoch - 7ms/step
Epoch 152/1500
313/313 - 2s - loss: 0.1787 - categorical_accuracy: 0.9365 - val_loss: 0.5724 - val_categorical_accuracy: 0.8354 - 2s/epoch - 8ms/step
Epoch 153/1500
313/313 - 2s - loss: 0.1769 - categorical_accuracy: 0.9367 - val_loss: 0.4502 - val_categorical_accuracy: 0.8779 - 2s/epoch - 7ms/step
Epoch 154/1500
313/313 - 2s - loss: 0.1762 - categorical_accuracy: 0.9374 - val_loss: 0.6083 - val_categorical_accuracy: 0.8498 - 2s/epoch - 7ms/step
Epoch 155/1500
313/313 - 2s - loss: 0.1787 - categorical_accuracy: 0.9374 - val_loss: 0.5938 - val_categorical_accuracy: 0.8271 - 2s/epoch - 7ms/step
Epoch 156/1500
313/313 - 2s - loss: 0.1766 - categorical_accuracy: 0.9379 - val_loss: 0.3927 - val_categorical_accuracy: 0.8773 - 2s/epoch - 7ms/step
Epoch 157/1500
313/313 - 2s - loss: 0.1761 - categorical_accuracy: 0.9375 - val_loss: 0.4279 - val_categorical_accuracy: 0.8651 - 2s/epoch - 7ms/step
Epoch 158/1500
313/313 - 2s - loss: 0.1723 - categorical_accuracy: 0.9386 - val_loss: 1.1631 - val_categorical_accuracy: 0.7423 - 2s/epoch - 7ms/step
Epoch 159/1500
313/313 - 2s - loss: 0.1909 - categorical_accuracy: 0.9344 - val_loss: 0.3541 - val_categorical_accuracy: 0.8888 - 2s/epoch - 8ms/step
Epoch 160/1500
313/313 - 2s - loss: 0.1702 - categorical_accuracy: 0.9399 - val_loss: 0.2770 - val_categorical_accuracy: 0.9136 - 2s/epoch - 7ms/step
Epoch 161/1500
313/313 - 2s - loss: 0.1686 - categorical_accuracy: 0.9400 - val_loss: 0.4564 - val_categorical_accuracy: 0.8679 - 2s/epoch - 8ms/step
Epoch 162/1500
313/313 - 2s - loss: 0.1705 - categorical_accuracy: 0.9393 - val_loss: 0.3876 - val_categorical_accuracy: 0.8834 - 2s/epoch - 8ms/step
Epoch 163/1500
313/313 - 2s - loss: 0.1677 - categorical_accuracy: 0.9409 - val_loss: 0.5840 - val_categorical_accuracy: 0.8374 - 2s/epoch - 7ms/step
Epoch 164/1500
313/313 - 2s - loss: 0.1724 - categorical_accuracy: 0.9389 - val_loss: 0.2983 - val_categorical_accuracy: 0.9047 - 2s/epoch - 7ms/step
Epoch 165/1500
313/313 - 2s - loss: 0.1687 - categorical_accuracy: 0.9405 - val_loss: 0.9604 - val_categorical_accuracy: 0.7627 - 2s/epoch - 7ms/step
Epoch 166/1500
313/313 - 2s - loss: 0.1845 - categorical_accuracy: 0.9365 - val_loss: 0.5574 - val_categorical_accuracy: 0.8386 - 2s/epoch - 7ms/step
Epoch 167/1500
313/313 - 2s - loss: 0.1696 - categorical_accuracy: 0.9402 - val_loss: 1.6114 - val_categorical_accuracy: 0.7301 - 2s/epoch - 7ms/step
Epoch 168/1500
313/313 - 2s - loss: 0.1862 - categorical_accuracy: 0.9367 - val_loss: 0.7171 - val_categorical_accuracy: 0.8016 - 2s/epoch - 7ms/step
Epoch 169/1500
313/313 - 2s - loss: 0.1676 - categorical_accuracy: 0.9401 - val_loss: 0.2922 - val_categorical_accuracy: 0.9077 - 2s/epoch - 7ms/step
Epoch 170/1500
313/313 - 2s - loss: 0.1705 - categorical_accuracy: 0.9403 - val_loss: 0.3435 - val_categorical_accuracy: 0.8926 - 2s/epoch - 7ms/step
Epoch 171/1500
313/313 - 2s - loss: 0.1613 - categorical_accuracy: 0.9427 - val_loss: 0.4267 - val_categorical_accuracy: 0.8654 - 2s/epoch - 7ms/step
Epoch 172/1500
313/313 - 2s - loss: 0.1673 - categorical_accuracy: 0.9406 - val_loss: 0.2926 - val_categorical_accuracy: 0.9080 - 2s/epoch - 7ms/step
Epoch 173/1500
313/313 - 2s - loss: 0.1578 - categorical_accuracy: 0.9449 - val_loss: 0.7472 - val_categorical_accuracy: 0.8146 - 2s/epoch - 7ms/step
Epoch 174/1500
313/313 - 2s - loss: 0.1650 - categorical_accuracy: 0.9419 - val_loss: 0.5325 - val_categorical_accuracy: 0.8367 - 2s/epoch - 7ms/step
Epoch 175/1500
313/313 - 2s - loss: 0.1640 - categorical_accuracy: 0.9419 - val_loss: 0.6777 - val_categorical_accuracy: 0.8229 - 2s/epoch - 7ms/step
Epoch 176/1500
313/313 - 2s - loss: 0.1647 - categorical_accuracy: 0.9419 - val_loss: 0.7324 - val_categorical_accuracy: 0.8094 - 2s/epoch - 7ms/step
Epoch 177/1500
313/313 - 2s - loss: 0.1711 - categorical_accuracy: 0.9402 - val_loss: 0.4875 - val_categorical_accuracy: 0.8560 - 2s/epoch - 7ms/step
Epoch 178/1500
313/313 - 2s - loss: 0.1597 - categorical_accuracy: 0.9432 - val_loss: 0.4891 - val_categorical_accuracy: 0.8697 - 2s/epoch - 7ms/step
Epoch 179/1500
313/313 - 2s - loss: 0.1617 - categorical_accuracy: 0.9428 - val_loss: 0.5158 - val_categorical_accuracy: 0.8470 - 2s/epoch - 7ms/step
Epoch 180/1500
313/313 - 2s - loss: 0.1629 - categorical_accuracy: 0.9425 - val_loss: 0.5796 - val_categorical_accuracy: 0.8302 - 2s/epoch - 7ms/step
Epoch 181/1500
313/313 - 2s - loss: 0.1595 - categorical_accuracy: 0.9434 - val_loss: 0.8138 - val_categorical_accuracy: 0.7939 - 2s/epoch - 7ms/step
Epoch 182/1500
313/313 - 2s - loss: 0.1615 - categorical_accuracy: 0.9432 - val_loss: 0.5111 - val_categorical_accuracy: 0.8515 - 2s/epoch - 7ms/step
Epoch 183/1500
313/313 - 2s - loss: 0.1573 - categorical_accuracy: 0.9441 - val_loss: 0.4112 - val_categorical_accuracy: 0.8763 - 2s/epoch - 7ms/step
Epoch 184/1500
313/313 - 2s - loss: 0.1591 - categorical_accuracy: 0.9435 - val_loss: 1.3097 - val_categorical_accuracy: 0.7666 - 2s/epoch - 7ms/step
Epoch 185/1500
313/313 - 2s - loss: 0.1689 - categorical_accuracy: 0.9409 - val_loss: 0.3420 - val_categorical_accuracy: 0.8980 - 2s/epoch - 7ms/step
Epoch 186/1500
313/313 - 2s - loss: 0.1556 - categorical_accuracy: 0.9452 - val_loss: 0.3947 - val_categorical_accuracy: 0.8786 - 2s/epoch - 7ms/step
Epoch 187/1500
313/313 - 2s - loss: 0.1534 - categorical_accuracy: 0.9457 - val_loss: 0.3068 - val_categorical_accuracy: 0.9059 - 2s/epoch - 8ms/step
Epoch 188/1500
313/313 - 2s - loss: 0.1533 - categorical_accuracy: 0.9456 - val_loss: 1.6824 - val_categorical_accuracy: 0.6965 - 2s/epoch - 8ms/step
Epoch 189/1500
313/313 - 2s - loss: 0.2007 - categorical_accuracy: 0.9357 - val_loss: 0.4270 - val_categorical_accuracy: 0.8700 - 2s/epoch - 8ms/step
Epoch 190/1500
313/313 - 2s - loss: 0.1542 - categorical_accuracy: 0.9455 - val_loss: 0.4963 - val_categorical_accuracy: 0.8567 - 2s/epoch - 7ms/step
Epoch 191/1500
313/313 - 2s - loss: 0.1512 - categorical_accuracy: 0.9464 - val_loss: 1.2455 - val_categorical_accuracy: 0.7266 - 2s/epoch - 7ms/step
Epoch 192/1500
313/313 - 2s - loss: 0.1838 - categorical_accuracy: 0.9387 - val_loss: 0.3907 - val_categorical_accuracy: 0.8801 - 2s/epoch - 7ms/step
Epoch 193/1500
313/313 - 2s - loss: 0.1511 - categorical_accuracy: 0.9465 - val_loss: 0.3559 - val_categorical_accuracy: 0.8923 - 2s/epoch - 7ms/step
Epoch 194/1500
313/313 - 2s - loss: 0.1509 - categorical_accuracy: 0.9467 - val_loss: 0.5618 - val_categorical_accuracy: 0.8438 - 2s/epoch - 8ms/step
Epoch 195/1500
313/313 - 2s - loss: 0.1525 - categorical_accuracy: 0.9467 - val_loss: 0.5228 - val_categorical_accuracy: 0.8661 - 2s/epoch - 7ms/step
Epoch 196/1500
313/313 - 2s - loss: 0.1527 - categorical_accuracy: 0.9459 - val_loss: 0.9177 - val_categorical_accuracy: 0.8269 - 2s/epoch - 8ms/step
Epoch 197/1500
313/313 - 2s - loss: 0.1594 - categorical_accuracy: 0.9444 - val_loss: 0.4528 - val_categorical_accuracy: 0.8701 - 2s/epoch - 8ms/step
Epoch 198/1500
313/313 - 3s - loss: 0.1507 - categorical_accuracy: 0.9472 - val_loss: 0.3107 - val_categorical_accuracy: 0.9049 - 3s/epoch - 8ms/step
Epoch 199/1500
313/313 - 2s - loss: 0.1459 - categorical_accuracy: 0.9484 - val_loss: 0.5111 - val_categorical_accuracy: 0.8724 - 2s/epoch - 8ms/step
Epoch 200/1500
313/313 - 2s - loss: 0.1538 - categorical_accuracy: 0.9462 - val_loss: 0.8250 - val_categorical_accuracy: 0.8070 - 2s/epoch - 8ms/step
Epoch 201/1500
313/313 - 2s - loss: 0.1584 - categorical_accuracy: 0.9448 - val_loss: 1.8825 - val_categorical_accuracy: 0.6796 - 2s/epoch - 7ms/step
Epoch 202/1500
313/313 - 2s - loss: 0.1961 - categorical_accuracy: 0.9375 - val_loss: 0.3283 - val_categorical_accuracy: 0.9055 - 2s/epoch - 7ms/step
Epoch 203/1500
313/313 - 2s - loss: 0.1465 - categorical_accuracy: 0.9482 - val_loss: 0.3688 - val_categorical_accuracy: 0.8956 - 2s/epoch - 7ms/step
Epoch 204/1500
313/313 - 2s - loss: 0.1478 - categorical_accuracy: 0.9476 - val_loss: 0.5806 - val_categorical_accuracy: 0.8396 - 2s/epoch - 7ms/step
Epoch 205/1500
313/313 - 2s - loss: 0.1490 - categorical_accuracy: 0.9471 - val_loss: 0.3331 - val_categorical_accuracy: 0.9011 - 2s/epoch - 7ms/step
Epoch 206/1500
313/313 - 2s - loss: 0.1457 - categorical_accuracy: 0.9481 - val_loss: 0.9660 - val_categorical_accuracy: 0.8035 - 2s/epoch - 7ms/step
Epoch 207/1500
313/313 - 2s - loss: 0.1541 - categorical_accuracy: 0.9464 - val_loss: 0.8481 - val_categorical_accuracy: 0.8049 - 2s/epoch - 7ms/step
Epoch 208/1500
313/313 - 2s - loss: 0.1552 - categorical_accuracy: 0.9459 - val_loss: 0.6452 - val_categorical_accuracy: 0.8138 - 2s/epoch - 7ms/step
Epoch 209/1500
313/313 - 2s - loss: 0.1511 - categorical_accuracy: 0.9468 - val_loss: 1.5662 - val_categorical_accuracy: 0.6866 - 2s/epoch - 7ms/step
Epoch 210/1500
313/313 - 2s - loss: 0.1798 - categorical_accuracy: 0.9411 - val_loss: 0.4221 - val_categorical_accuracy: 0.8874 - 2s/epoch - 7ms/step
Epoch 211/1500
313/313 - 2s - loss: 0.1453 - categorical_accuracy: 0.9486 - val_loss: 0.3797 - val_categorical_accuracy: 0.8917 - 2s/epoch - 7ms/step
Epoch 212/1500
313/313 - 2s - loss: 0.1438 - categorical_accuracy: 0.9498 - val_loss: 0.2783 - val_categorical_accuracy: 0.9173 - 2s/epoch - 7ms/step
Epoch 213/1500
313/313 - 2s - loss: 0.1430 - categorical_accuracy: 0.9488 - val_loss: 0.3538 - val_categorical_accuracy: 0.8985 - 2s/epoch - 8ms/step
Epoch 214/1500
313/313 - 2s - loss: 0.1459 - categorical_accuracy: 0.9481 - val_loss: 0.6368 - val_categorical_accuracy: 0.8099 - 2s/epoch - 7ms/step
Epoch 215/1500
313/313 - 2s - loss: 0.1469 - categorical_accuracy: 0.9480 - val_loss: 0.5044 - val_categorical_accuracy: 0.8664 - 2s/epoch - 7ms/step
Epoch 216/1500
313/313 - 2s - loss: 0.1464 - categorical_accuracy: 0.9478 - val_loss: 0.3360 - val_categorical_accuracy: 0.9009 - 2s/epoch - 8ms/step
Epoch 217/1500
313/313 - 2s - loss: 0.1442 - categorical_accuracy: 0.9495 - val_loss: 0.5474 - val_categorical_accuracy: 0.8562 - 2s/epoch - 8ms/step
Epoch 218/1500
313/313 - 2s - loss: 0.1487 - categorical_accuracy: 0.9470 - val_loss: 0.3247 - val_categorical_accuracy: 0.9028 - 2s/epoch - 8ms/step
Epoch 219/1500
313/313 - 2s - loss: 0.1389 - categorical_accuracy: 0.9505 - val_loss: 0.3334 - val_categorical_accuracy: 0.9025 - 2s/epoch - 7ms/step
Epoch 220/1500
313/313 - 2s - loss: 0.1429 - categorical_accuracy: 0.9493 - val_loss: 0.3503 - val_categorical_accuracy: 0.8995 - 2s/epoch - 7ms/step
Epoch 221/1500
313/313 - 2s - loss: 0.1422 - categorical_accuracy: 0.9498 - val_loss: 0.3887 - val_categorical_accuracy: 0.8877 - 2s/epoch - 7ms/step
Epoch 222/1500
313/313 - 2s - loss: 0.1418 - categorical_accuracy: 0.9497 - val_loss: 0.5873 - val_categorical_accuracy: 0.8383 - 2s/epoch - 7ms/step
Epoch 223/1500
313/313 - 2s - loss: 0.1449 - categorical_accuracy: 0.9491 - val_loss: 0.3915 - val_categorical_accuracy: 0.8854 - 2s/epoch - 7ms/step
Epoch 224/1500
313/313 - 2s - loss: 0.1428 - categorical_accuracy: 0.9498 - val_loss: 1.3317 - val_categorical_accuracy: 0.7582 - 2s/epoch - 8ms/step
Epoch 225/1500
313/313 - 2s - loss: 0.1665 - categorical_accuracy: 0.9443 - val_loss: 0.3246 - val_categorical_accuracy: 0.9055 - 2s/epoch - 8ms/step
Epoch 226/1500
313/313 - 2s - loss: 0.1388 - categorical_accuracy: 0.9507 - val_loss: 0.3793 - val_categorical_accuracy: 0.8911 - 2s/epoch - 8ms/step
Epoch 227/1500
313/313 - 2s - loss: 0.1390 - categorical_accuracy: 0.9510 - val_loss: 0.3350 - val_categorical_accuracy: 0.9064 - 2s/epoch - 8ms/step
Epoch 228/1500
313/313 - 2s - loss: 0.1379 - categorical_accuracy: 0.9512 - val_loss: 0.4326 - val_categorical_accuracy: 0.8834 - 2s/epoch - 8ms/step
Epoch 229/1500
313/313 - 2s - loss: 0.1385 - categorical_accuracy: 0.9513 - val_loss: 0.5699 - val_categorical_accuracy: 0.8433 - 2s/epoch - 8ms/step
Epoch 230/1500
313/313 - 2s - loss: 0.1460 - categorical_accuracy: 0.9486 - val_loss: 0.9303 - val_categorical_accuracy: 0.7950 - 2s/epoch - 8ms/step
Epoch 231/1500
313/313 - 2s - loss: 0.1512 - categorical_accuracy: 0.9480 - val_loss: 0.4443 - val_categorical_accuracy: 0.8790 - 2s/epoch - 7ms/step
Epoch 232/1500
313/313 - 2s - loss: 0.1437 - categorical_accuracy: 0.9494 - val_loss: 0.5134 - val_categorical_accuracy: 0.8596 - 2s/epoch - 7ms/step
Epoch 233/1500
313/313 - 2s - loss: 0.1443 - categorical_accuracy: 0.9488 - val_loss: 0.3213 - val_categorical_accuracy: 0.9103 - 2s/epoch - 7ms/step
Epoch 234/1500
313/313 - 2s - loss: 0.1383 - categorical_accuracy: 0.9510 - val_loss: 1.5273 - val_categorical_accuracy: 0.6994 - 2s/epoch - 8ms/step
Epoch 235/1500
313/313 - 2s - loss: 0.1567 - categorical_accuracy: 0.9464 - val_loss: 1.0157 - val_categorical_accuracy: 0.8244 - 2s/epoch - 8ms/step
Epoch 236/1500
313/313 - 2s - loss: 0.1421 - categorical_accuracy: 0.9504 - val_loss: 0.3400 - val_categorical_accuracy: 0.9006 - 2s/epoch - 8ms/step
Epoch 237/1500
313/313 - 2s - loss: 0.1363 - categorical_accuracy: 0.9519 - val_loss: 0.6881 - val_categorical_accuracy: 0.8321 - 2s/epoch - 8ms/step
Epoch 238/1500
313/313 - 2s - loss: 0.1427 - categorical_accuracy: 0.9506 - val_loss: 2.8697 - val_categorical_accuracy: 0.5677 - 2s/epoch - 8ms/step
Epoch 239/1500
313/313 - 2s - loss: 0.2445 - categorical_accuracy: 0.9285 - val_loss: 0.3332 - val_categorical_accuracy: 0.8991 - 2s/epoch - 8ms/step
Epoch 240/1500
313/313 - 2s - loss: 0.1346 - categorical_accuracy: 0.9523 - val_loss: 0.5197 - val_categorical_accuracy: 0.8546 - 2s/epoch - 7ms/step
Epoch 241/1500
313/313 - 2s - loss: 0.1354 - categorical_accuracy: 0.9523 - val_loss: 0.4730 - val_categorical_accuracy: 0.8713 - 2s/epoch - 7ms/step
Epoch 242/1500
313/313 - 2s - loss: 0.1346 - categorical_accuracy: 0.9523 - val_loss: 0.5610 - val_categorical_accuracy: 0.8547 - 2s/epoch - 7ms/step
Epoch 243/1500
313/313 - 2s - loss: 0.1397 - categorical_accuracy: 0.9514 - val_loss: 1.1088 - val_categorical_accuracy: 0.7561 - 2s/epoch - 7ms/step
Epoch 244/1500
313/313 - 2s - loss: 0.1484 - categorical_accuracy: 0.9489 - val_loss: 0.4543 - val_categorical_accuracy: 0.8782 - 2s/epoch - 7ms/step
Epoch 245/1500
313/313 - 2s - loss: 0.1358 - categorical_accuracy: 0.9515 - val_loss: 3.3480 - val_categorical_accuracy: 0.5781 - 2s/epoch - 7ms/step
Epoch 246/1500
313/313 - 2s - loss: 0.2675 - categorical_accuracy: 0.9247 - val_loss: 0.3224 - val_categorical_accuracy: 0.9024 - 2s/epoch - 7ms/step
Epoch 247/1500
313/313 - 2s - loss: 0.1334 - categorical_accuracy: 0.9525 - val_loss: 1.2634 - val_categorical_accuracy: 0.7183 - 2s/epoch - 7ms/step
Epoch 248/1500
313/313 - 2s - loss: 0.1453 - categorical_accuracy: 0.9496 - val_loss: 0.9384 - val_categorical_accuracy: 0.7818 - 2s/epoch - 7ms/step
Epoch 249/1500
313/313 - 2s - loss: 0.1377 - categorical_accuracy: 0.9519 - val_loss: 1.3809 - val_categorical_accuracy: 0.7101 - 2s/epoch - 7ms/step
Epoch 250/1500
313/313 - 2s - loss: 0.1473 - categorical_accuracy: 0.9496 - val_loss: 0.4270 - val_categorical_accuracy: 0.8807 - 2s/epoch - 7ms/step
Epoch 251/1500
313/313 - 2s - loss: 0.1315 - categorical_accuracy: 0.9534 - val_loss: 2.5350 - val_categorical_accuracy: 0.6395 - 2s/epoch - 7ms/step
Epoch 252/1500
313/313 - 2s - loss: 0.1866 - categorical_accuracy: 0.9417 - val_loss: 0.7081 - val_categorical_accuracy: 0.8087 - 2s/epoch - 7ms/step
Epoch 253/1500
313/313 - 2s - loss: 0.1340 - categorical_accuracy: 0.9526 - val_loss: 0.5281 - val_categorical_accuracy: 0.8558 - 2s/epoch - 7ms/step
Epoch 254/1500
313/313 - 2s - loss: 0.1310 - categorical_accuracy: 0.9539 - val_loss: 0.5668 - val_categorical_accuracy: 0.8554 - 2s/epoch - 7ms/step
Epoch 255/1500
313/313 - 2s - loss: 0.1322 - categorical_accuracy: 0.9537 - val_loss: 0.3709 - val_categorical_accuracy: 0.8889 - 2s/epoch - 7ms/step
Epoch 256/1500
313/313 - 2s - loss: 0.1303 - categorical_accuracy: 0.9541 - val_loss: 0.4337 - val_categorical_accuracy: 0.8903 - 2s/epoch - 7ms/step
Epoch 257/1500
313/313 - 2s - loss: 0.1325 - categorical_accuracy: 0.9538 - val_loss: 0.3281 - val_categorical_accuracy: 0.9063 - 2s/epoch - 7ms/step
Epoch 258/1500
313/313 - 2s - loss: 0.1344 - categorical_accuracy: 0.9527 - val_loss: 1.5942 - val_categorical_accuracy: 0.7163 - 2s/epoch - 7ms/step
Epoch 259/1500
313/313 - 2s - loss: 0.1446 - categorical_accuracy: 0.9500 - val_loss: 0.2974 - val_categorical_accuracy: 0.9163 - 2s/epoch - 7ms/step
Epoch 260/1500
313/313 - 2s - loss: 0.1291 - categorical_accuracy: 0.9547 - val_loss: 0.4258 - val_categorical_accuracy: 0.8802 - 2s/epoch - 7ms/step
Epoch 261/1500
313/313 - 2s - loss: 0.1333 - categorical_accuracy: 0.9526 - val_loss: 1.2606 - val_categorical_accuracy: 0.7476 - 2s/epoch - 7ms/step
Epoch 262/1500
313/313 - 2s - loss: 0.1468 - categorical_accuracy: 0.9494 - val_loss: 0.3870 - val_categorical_accuracy: 0.8937 - 2s/epoch - 7ms/step
Epoch 263/1500
313/313 - 2s - loss: 0.1276 - categorical_accuracy: 0.9548 - val_loss: 1.1574 - val_categorical_accuracy: 0.7456 - 2s/epoch - 7ms/step
Epoch 264/1500
313/313 - 2s - loss: 0.1553 - categorical_accuracy: 0.9483 - val_loss: 0.3379 - val_categorical_accuracy: 0.9014 - 2s/epoch - 8ms/step
Epoch 265/1500
313/313 - 2s - loss: 0.1272 - categorical_accuracy: 0.9553 - val_loss: 0.3996 - val_categorical_accuracy: 0.8898 - 2s/epoch - 7ms/step
Epoch 266/1500
313/313 - 2s - loss: 0.1286 - categorical_accuracy: 0.9545 - val_loss: 0.9900 - val_categorical_accuracy: 0.7818 - 2s/epoch - 7ms/step
Epoch 267/1500
313/313 - 2s - loss: 0.1422 - categorical_accuracy: 0.9510 - val_loss: 1.3212 - val_categorical_accuracy: 0.7478 - 2s/epoch - 7ms/step
Epoch 268/1500
313/313 - 2s - loss: 0.1737 - categorical_accuracy: 0.9452 - val_loss: 0.6589 - val_categorical_accuracy: 0.8446 - 2s/epoch - 7ms/step
Epoch 269/1500
313/313 - 2s - loss: 0.1324 - categorical_accuracy: 0.9536 - val_loss: 0.3031 - val_categorical_accuracy: 0.9126 - 2s/epoch - 7ms/step
Epoch 270/1500
313/313 - 2s - loss: 0.1249 - categorical_accuracy: 0.9558 - val_loss: 0.6814 - val_categorical_accuracy: 0.8435 - 2s/epoch - 7ms/step
Epoch 271/1500
313/313 - 2s - loss: 0.1305 - categorical_accuracy: 0.9545 - val_loss: 0.8649 - val_categorical_accuracy: 0.7959 - 2s/epoch - 7ms/step
Epoch 272/1500
313/313 - 2s - loss: 0.1383 - categorical_accuracy: 0.9523 - val_loss: 0.5543 - val_categorical_accuracy: 0.8510 - 2s/epoch - 7ms/step
Epoch 273/1500
313/313 - 2s - loss: 0.1341 - categorical_accuracy: 0.9530 - val_loss: 0.4550 - val_categorical_accuracy: 0.8771 - 2s/epoch - 7ms/step
Epoch 274/1500
313/313 - 2s - loss: 0.1304 - categorical_accuracy: 0.9539 - val_loss: 1.1665 - val_categorical_accuracy: 0.8494 - 2s/epoch - 7ms/step
Epoch 275/1500
313/313 - 2s - loss: 0.1410 - categorical_accuracy: 0.9515 - val_loss: 2.1087 - val_categorical_accuracy: 0.6504 - 2s/epoch - 7ms/step
Epoch 276/1500
313/313 - 2s - loss: 0.1825 - categorical_accuracy: 0.9435 - val_loss: 0.4127 - val_categorical_accuracy: 0.8990 - 2s/epoch - 7ms/step
Epoch 277/1500
313/313 - 2s - loss: 0.1277 - categorical_accuracy: 0.9550 - val_loss: 0.8803 - val_categorical_accuracy: 0.7972 - 2s/epoch - 7ms/step
Epoch 278/1500
313/313 - 2s - loss: 0.1386 - categorical_accuracy: 0.9517 - val_loss: 0.3302 - val_categorical_accuracy: 0.9131 - 2s/epoch - 7ms/step
Epoch 279/1500
313/313 - 2s - loss: 0.1240 - categorical_accuracy: 0.9565 - val_loss: 0.3162 - val_categorical_accuracy: 0.9140 - 2s/epoch - 7ms/step
Epoch 280/1500
313/313 - 2s - loss: 0.1247 - categorical_accuracy: 0.9559 - val_loss: 0.2906 - val_categorical_accuracy: 0.9213 - 2s/epoch - 7ms/step
Epoch 281/1500
313/313 - 2s - loss: 0.1255 - categorical_accuracy: 0.9560 - val_loss: 0.3494 - val_categorical_accuracy: 0.9026 - 2s/epoch - 7ms/step
Epoch 282/1500
313/313 - 2s - loss: 0.1249 - categorical_accuracy: 0.9561 - val_loss: 0.3853 - val_categorical_accuracy: 0.8968 - 2s/epoch - 7ms/step
Epoch 283/1500
313/313 - 2s - loss: 0.1247 - categorical_accuracy: 0.9561 - val_loss: 0.4884 - val_categorical_accuracy: 0.8691 - 2s/epoch - 7ms/step
Epoch 284/1500
313/313 - 2s - loss: 0.1281 - categorical_accuracy: 0.9549 - val_loss: 0.8945 - val_categorical_accuracy: 0.7863 - 2s/epoch - 7ms/step
Epoch 285/1500
313/313 - 2s - loss: 0.1340 - categorical_accuracy: 0.9533 - val_loss: 0.3219 - val_categorical_accuracy: 0.9092 - 2s/epoch - 7ms/step
Epoch 286/1500
313/313 - 2s - loss: 0.1276 - categorical_accuracy: 0.9553 - val_loss: 1.1051 - val_categorical_accuracy: 0.7928 - 2s/epoch - 7ms/step
Epoch 287/1500
313/313 - 2s - loss: 0.1429 - categorical_accuracy: 0.9512 - val_loss: 0.3141 - val_categorical_accuracy: 0.9120 - 2s/epoch - 7ms/step
Epoch 288/1500
313/313 - 2s - loss: 0.1250 - categorical_accuracy: 0.9556 - val_loss: 0.4739 - val_categorical_accuracy: 0.8729 - 2s/epoch - 7ms/step
Epoch 289/1500
313/313 - 2s - loss: 0.1318 - categorical_accuracy: 0.9532 - val_loss: 0.4575 - val_categorical_accuracy: 0.8750 - 2s/epoch - 7ms/step
Epoch 290/1500
313/313 - 2s - loss: 0.1280 - categorical_accuracy: 0.9548 - val_loss: 0.2945 - val_categorical_accuracy: 0.9178 - 2s/epoch - 8ms/step
Epoch 291/1500
313/313 - 2s - loss: 0.1216 - categorical_accuracy: 0.9571 - val_loss: 0.4100 - val_categorical_accuracy: 0.8874 - 2s/epoch - 7ms/step
Epoch 292/1500
313/313 - 2s - loss: 0.1247 - categorical_accuracy: 0.9562 - val_loss: 0.5596 - val_categorical_accuracy: 0.8442 - 2s/epoch - 7ms/step
Epoch 293/1500
313/313 - 2s - loss: 0.1287 - categorical_accuracy: 0.9549 - val_loss: 0.5664 - val_categorical_accuracy: 0.8584 - 2s/epoch - 7ms/step
Epoch 294/1500
313/313 - 2s - loss: 0.1311 - categorical_accuracy: 0.9538 - val_loss: 0.3114 - val_categorical_accuracy: 0.9183 - 2s/epoch - 7ms/step
Epoch 295/1500
313/313 - 2s - loss: 0.1238 - categorical_accuracy: 0.9565 - val_loss: 0.4840 - val_categorical_accuracy: 0.8819 - 2s/epoch - 7ms/step
Epoch 296/1500
313/313 - 2s - loss: 0.1270 - categorical_accuracy: 0.9556 - val_loss: 2.8409 - val_categorical_accuracy: 0.5756 - 2s/epoch - 7ms/step
Epoch 297/1500
313/313 - 2s - loss: 0.2304 - categorical_accuracy: 0.9340 - val_loss: 0.4192 - val_categorical_accuracy: 0.8821 - 2s/epoch - 7ms/step
Epoch 298/1500
313/313 - 2s - loss: 0.1233 - categorical_accuracy: 0.9564 - val_loss: 0.6801 - val_categorical_accuracy: 0.8187 - 2s/epoch - 7ms/step
Epoch 299/1500
313/313 - 2s - loss: 0.1271 - categorical_accuracy: 0.9556 - val_loss: 1.2732 - val_categorical_accuracy: 0.7819 - 2s/epoch - 7ms/step
Epoch 300/1500
313/313 - 2s - loss: 0.1366 - categorical_accuracy: 0.9534 - val_loss: 0.3770 - val_categorical_accuracy: 0.8966 - 2s/epoch - 7ms/step
Epoch 301/1500
313/313 - 2s - loss: 0.1238 - categorical_accuracy: 0.9561 - val_loss: 1.4065 - val_categorical_accuracy: 0.7783 - 2s/epoch - 7ms/step
Epoch 302/1500
313/313 - 2s - loss: 0.1321 - categorical_accuracy: 0.9550 - val_loss: 1.1438 - val_categorical_accuracy: 0.7688 - 2s/epoch - 7ms/step
Epoch 303/1500
313/313 - 2s - loss: 0.1336 - categorical_accuracy: 0.9539 - val_loss: 0.2741 - val_categorical_accuracy: 0.9250 - 2s/epoch - 7ms/step
Epoch 304/1500
313/313 - 2s - loss: 0.1207 - categorical_accuracy: 0.9572 - val_loss: 1.0265 - val_categorical_accuracy: 0.7612 - 2s/epoch - 7ms/step
Epoch 305/1500
313/313 - 2s - loss: 0.1361 - categorical_accuracy: 0.9529 - val_loss: 1.1026 - val_categorical_accuracy: 0.7701 - 2s/epoch - 7ms/step
Epoch 306/1500
313/313 - 2s - loss: 0.1465 - categorical_accuracy: 0.9509 - val_loss: 0.3242 - val_categorical_accuracy: 0.9128 - 2s/epoch - 7ms/step
Epoch 307/1500
313/313 - 2s - loss: 0.1173 - categorical_accuracy: 0.9589 - val_loss: 0.5759 - val_categorical_accuracy: 0.8753 - 2s/epoch - 7ms/step
Epoch 308/1500
313/313 - 2s - loss: 0.1259 - categorical_accuracy: 0.9560 - val_loss: 0.6655 - val_categorical_accuracy: 0.8377 - 2s/epoch - 7ms/step
Epoch 309/1500
313/313 - 2s - loss: 0.1331 - categorical_accuracy: 0.9540 - val_loss: 0.5804 - val_categorical_accuracy: 0.8540 - 2s/epoch - 7ms/step
Epoch 310/1500
313/313 - 2s - loss: 0.1281 - categorical_accuracy: 0.9556 - val_loss: 0.3262 - val_categorical_accuracy: 0.9119 - 2s/epoch - 7ms/step
Epoch 311/1500
313/313 - 2s - loss: 0.1202 - categorical_accuracy: 0.9578 - val_loss: 0.3843 - val_categorical_accuracy: 0.9022 - 2s/epoch - 7ms/step
Epoch 312/1500
313/313 - 2s - loss: 0.1223 - categorical_accuracy: 0.9567 - val_loss: 0.4156 - val_categorical_accuracy: 0.8919 - 2s/epoch - 7ms/step
Epoch 313/1500
313/313 - 2s - loss: 0.1248 - categorical_accuracy: 0.9556 - val_loss: 0.4613 - val_categorical_accuracy: 0.8736 - 2s/epoch - 7ms/step
Epoch 314/1500
313/313 - 2s - loss: 0.1228 - categorical_accuracy: 0.9571 - val_loss: 0.7404 - val_categorical_accuracy: 0.8499 - 2s/epoch - 7ms/step
Epoch 315/1500
313/313 - 2s - loss: 0.1434 - categorical_accuracy: 0.9529 - val_loss: 1.0399 - val_categorical_accuracy: 0.7675 - 2s/epoch - 7ms/step
Epoch 316/1500
313/313 - 2s - loss: 0.1322 - categorical_accuracy: 0.9544 - val_loss: 0.3523 - val_categorical_accuracy: 0.9020 - 2s/epoch - 7ms/step
Epoch 317/1500
313/313 - 2s - loss: 0.1194 - categorical_accuracy: 0.9576 - val_loss: 0.4926 - val_categorical_accuracy: 0.8735 - 2s/epoch - 8ms/step
Epoch 318/1500
313/313 - 2s - loss: 0.1212 - categorical_accuracy: 0.9574 - val_loss: 0.3961 - val_categorical_accuracy: 0.8961 - 2s/epoch - 7ms/step
Epoch 319/1500
313/313 - 2s - loss: 0.1201 - categorical_accuracy: 0.9574 - val_loss: 0.8932 - val_categorical_accuracy: 0.8096 - 2s/epoch - 7ms/step
Epoch 320/1500
313/313 - 2s - loss: 0.1286 - categorical_accuracy: 0.9553 - val_loss: 0.4742 - val_categorical_accuracy: 0.8772 - 2s/epoch - 7ms/step
Epoch 321/1500
313/313 - 2s - loss: 0.1230 - categorical_accuracy: 0.9562 - val_loss: 1.1372 - val_categorical_accuracy: 0.8214 - 2s/epoch - 7ms/step
Epoch 322/1500
313/313 - 2s - loss: 0.1690 - categorical_accuracy: 0.9469 - val_loss: 0.4905 - val_categorical_accuracy: 0.8739 - 2s/epoch - 7ms/step
Epoch 323/1500
313/313 - 2s - loss: 0.1195 - categorical_accuracy: 0.9577 - val_loss: 1.1606 - val_categorical_accuracy: 0.8206 - 2s/epoch - 7ms/step
Epoch 324/1500
313/313 - 2s - loss: 0.1259 - categorical_accuracy: 0.9567 - val_loss: 0.9757 - val_categorical_accuracy: 0.7771 - 2s/epoch - 7ms/step
Epoch 325/1500
313/313 - 2s - loss: 0.1312 - categorical_accuracy: 0.9547 - val_loss: 0.3485 - val_categorical_accuracy: 0.9117 - 2s/epoch - 7ms/step
Epoch 326/1500
313/313 - 2s - loss: 0.1184 - categorical_accuracy: 0.9582 - val_loss: 0.4717 - val_categorical_accuracy: 0.8816 - 2s/epoch - 7ms/step
Epoch 327/1500
313/313 - 2s - loss: 0.1212 - categorical_accuracy: 0.9575 - val_loss: 0.7789 - val_categorical_accuracy: 0.8211 - 2s/epoch - 8ms/step
Epoch 328/1500
313/313 - 2s - loss: 0.1255 - categorical_accuracy: 0.9563 - val_loss: 0.4070 - val_categorical_accuracy: 0.8893 - 2s/epoch - 7ms/step
Epoch 329/1500
313/313 - 2s - loss: 0.1185 - categorical_accuracy: 0.9581 - val_loss: 1.0043 - val_categorical_accuracy: 0.8031 - 2s/epoch - 8ms/step
Epoch 330/1500
313/313 - 2s - loss: 0.1302 - categorical_accuracy: 0.9549 - val_loss: 1.6266 - val_categorical_accuracy: 0.7372 - 2s/epoch - 7ms/step
Epoch 331/1500
313/313 - 3s - loss: 0.1341 - categorical_accuracy: 0.9541 - val_loss: 1.1749 - val_categorical_accuracy: 0.7961 - 3s/epoch - 8ms/step
Epoch 332/1500
313/313 - 2s - loss: 0.1292 - categorical_accuracy: 0.9553 - val_loss: 0.4076 - val_categorical_accuracy: 0.8946 - 2s/epoch - 7ms/step
Epoch 333/1500
313/313 - 2s - loss: 0.1200 - categorical_accuracy: 0.9579 - val_loss: 0.5724 - val_categorical_accuracy: 0.8691 - 2s/epoch - 7ms/step
Epoch 334/1500
313/313 - 2s - loss: 0.1218 - categorical_accuracy: 0.9572 - val_loss: 0.5099 - val_categorical_accuracy: 0.8739 - 2s/epoch - 8ms/step
Epoch 335/1500
313/313 - 2s - loss: 0.1222 - categorical_accuracy: 0.9574 - val_loss: 0.3451 - val_categorical_accuracy: 0.9127 - 2s/epoch - 7ms/step
Epoch 336/1500
313/313 - 2s - loss: 0.1176 - categorical_accuracy: 0.9589 - val_loss: 0.2907 - val_categorical_accuracy: 0.9253 - 2s/epoch - 8ms/step
Epoch 337/1500
313/313 - 2s - loss: 0.1162 - categorical_accuracy: 0.9591 - val_loss: 1.0771 - val_categorical_accuracy: 0.7752 - 2s/epoch - 8ms/step
Epoch 338/1500
313/313 - 2s - loss: 0.1397 - categorical_accuracy: 0.9515 - val_loss: 1.0224 - val_categorical_accuracy: 0.7931 - 2s/epoch - 7ms/step
Epoch 339/1500
313/313 - 2s - loss: 0.1259 - categorical_accuracy: 0.9562 - val_loss: 0.4083 - val_categorical_accuracy: 0.8867 - 2s/epoch - 8ms/step
Epoch 340/1500
313/313 - 2s - loss: 0.1230 - categorical_accuracy: 0.9560 - val_loss: 0.4075 - val_categorical_accuracy: 0.9032 - 2s/epoch - 7ms/step
Epoch 341/1500
313/313 - 2s - loss: 0.1219 - categorical_accuracy: 0.9583 - val_loss: 0.3569 - val_categorical_accuracy: 0.9031 - 2s/epoch - 7ms/step
Epoch 342/1500
313/313 - 2s - loss: 0.1169 - categorical_accuracy: 0.9585 - val_loss: 0.4646 - val_categorical_accuracy: 0.8825 - 2s/epoch - 7ms/step
Epoch 343/1500
313/313 - 2s - loss: 0.1211 - categorical_accuracy: 0.9575 - val_loss: 0.3206 - val_categorical_accuracy: 0.9177 - 2s/epoch - 8ms/step
Epoch 344/1500
313/313 - 2s - loss: 0.1195 - categorical_accuracy: 0.9583 - val_loss: 0.6296 - val_categorical_accuracy: 0.8514 - 2s/epoch - 7ms/step
Epoch 345/1500
313/313 - 2s - loss: 0.1230 - categorical_accuracy: 0.9570 - val_loss: 0.3241 - val_categorical_accuracy: 0.9149 - 2s/epoch - 8ms/step
Epoch 346/1500
313/313 - 2s - loss: 0.1153 - categorical_accuracy: 0.9598 - val_loss: 0.5487 - val_categorical_accuracy: 0.8624 - 2s/epoch - 8ms/step
Epoch 347/1500
313/313 - 3s - loss: 0.1230 - categorical_accuracy: 0.9567 - val_loss: 1.5729 - val_categorical_accuracy: 0.7448 - 3s/epoch - 8ms/step
Epoch 348/1500
313/313 - 3s - loss: 0.1549 - categorical_accuracy: 0.9500 - val_loss: 0.6937 - val_categorical_accuracy: 0.8423 - 3s/epoch - 8ms/step
Epoch 349/1500
313/313 - 2s - loss: 0.1256 - categorical_accuracy: 0.9562 - val_loss: 0.3786 - val_categorical_accuracy: 0.8947 - 2s/epoch - 8ms/step
Epoch 350/1500
313/313 - 2s - loss: 0.1163 - categorical_accuracy: 0.9592 - val_loss: 2.2375 - val_categorical_accuracy: 0.7631 - 2s/epoch - 8ms/step
Epoch 351/1500
313/313 - 2s - loss: 0.4646 - categorical_accuracy: 0.8716 - val_loss: 0.4246 - val_categorical_accuracy: 0.8847 - 2s/epoch - 8ms/step
Epoch 352/1500
313/313 - 2s - loss: 0.1542 - categorical_accuracy: 0.9457 - val_loss: 0.4987 - val_categorical_accuracy: 0.8549 - 2s/epoch - 7ms/step
Epoch 353/1500
313/313 - 2s - loss: 0.1365 - categorical_accuracy: 0.9519 - val_loss: 0.6396 - val_categorical_accuracy: 0.8351 - 2s/epoch - 7ms/step
Epoch 354/1500
313/313 - 2s - loss: 0.1294 - categorical_accuracy: 0.9544 - val_loss: 0.3157 - val_categorical_accuracy: 0.9131 - 2s/epoch - 7ms/step
Epoch 355/1500
313/313 - 2s - loss: 0.1221 - categorical_accuracy: 0.9571 - val_loss: 0.3571 - val_categorical_accuracy: 0.9080 - 2s/epoch - 8ms/step
Epoch 356/1500
313/313 - 2s - loss: 0.1191 - categorical_accuracy: 0.9578 - val_loss: 0.4011 - val_categorical_accuracy: 0.8929 - 2s/epoch - 7ms/step
Epoch 357/1500
313/313 - 2s - loss: 0.1185 - categorical_accuracy: 0.9582 - val_loss: 0.5696 - val_categorical_accuracy: 0.8590 - 2s/epoch - 7ms/step
Epoch 358/1500
313/313 - 2s - loss: 0.1223 - categorical_accuracy: 0.9573 - val_loss: 0.7946 - val_categorical_accuracy: 0.8232 - 2s/epoch - 7ms/step
Epoch 359/1500
313/313 - 2s - loss: 0.1282 - categorical_accuracy: 0.9559 - val_loss: 0.9675 - val_categorical_accuracy: 0.8024 - 2s/epoch - 7ms/step
Epoch 360/1500
313/313 - 2s - loss: 0.1291 - categorical_accuracy: 0.9556 - val_loss: 2.4793 - val_categorical_accuracy: 0.7381 - 2s/epoch - 7ms/step
Epoch 361/1500
313/313 - 2s - loss: 0.1384 - categorical_accuracy: 0.9537 - val_loss: 0.3352 - val_categorical_accuracy: 0.9088 - 2s/epoch - 7ms/step
Epoch 362/1500
313/313 - 2s - loss: 0.1144 - categorical_accuracy: 0.9599 - val_loss: 0.6006 - val_categorical_accuracy: 0.8584 - 2s/epoch - 7ms/step
Epoch 363/1500
313/313 - 2s - loss: 0.1181 - categorical_accuracy: 0.9589 - val_loss: 0.2957 - val_categorical_accuracy: 0.9174 - 2s/epoch - 7ms/step
Epoch 364/1500
313/313 - 2s - loss: 0.1148 - categorical_accuracy: 0.9593 - val_loss: 0.3769 - val_categorical_accuracy: 0.8964 - 2s/epoch - 7ms/step
Epoch 365/1500
313/313 - 2s - loss: 0.1171 - categorical_accuracy: 0.9589 - val_loss: 0.3192 - val_categorical_accuracy: 0.9132 - 2s/epoch - 7ms/step
Epoch 366/1500
313/313 - 3s - loss: 0.1180 - categorical_accuracy: 0.9590 - val_loss: 1.1136 - val_categorical_accuracy: 0.7558 - 3s/epoch - 9ms/step
Epoch 367/1500
313/313 - 2s - loss: 0.1291 - categorical_accuracy: 0.9558 - val_loss: 1.0365 - val_categorical_accuracy: 0.7663 - 2s/epoch - 7ms/step
Epoch 368/1500
313/313 - 2s - loss: 0.1267 - categorical_accuracy: 0.9558 - val_loss: 0.5511 - val_categorical_accuracy: 0.8588 - 2s/epoch - 8ms/step
Epoch 369/1500
313/313 - 2s - loss: 0.1177 - categorical_accuracy: 0.9590 - val_loss: 0.3618 - val_categorical_accuracy: 0.9047 - 2s/epoch - 7ms/step
Epoch 370/1500
313/313 - 2s - loss: 0.1145 - categorical_accuracy: 0.9597 - val_loss: 0.5224 - val_categorical_accuracy: 0.8776 - 2s/epoch - 7ms/step
Epoch 371/1500
313/313 - 2s - loss: 0.1208 - categorical_accuracy: 0.9580 - val_loss: 0.5528 - val_categorical_accuracy: 0.8816 - 2s/epoch - 8ms/step
Epoch 372/1500
313/313 - 2s - loss: 0.1160 - categorical_accuracy: 0.9596 - val_loss: 0.6610 - val_categorical_accuracy: 0.8464 - 2s/epoch - 7ms/step
Epoch 373/1500
313/313 - 2s - loss: 0.1203 - categorical_accuracy: 0.9578 - val_loss: 1.0277 - val_categorical_accuracy: 0.7817 - 2s/epoch - 7ms/step
Epoch 374/1500
313/313 - 2s - loss: 0.1305 - categorical_accuracy: 0.9558 - val_loss: 0.3815 - val_categorical_accuracy: 0.9064 - 2s/epoch - 8ms/step
Epoch 375/1500
313/313 - 2s - loss: 0.1133 - categorical_accuracy: 0.9601 - val_loss: 0.5615 - val_categorical_accuracy: 0.8669 - 2s/epoch - 7ms/step
Epoch 376/1500
313/313 - 2s - loss: 0.1167 - categorical_accuracy: 0.9595 - val_loss: 0.3391 - val_categorical_accuracy: 0.9108 - 2s/epoch - 7ms/step
Epoch 377/1500
313/313 - 2s - loss: 0.1136 - categorical_accuracy: 0.9604 - val_loss: 0.3250 - val_categorical_accuracy: 0.9190 - 2s/epoch - 7ms/step
Epoch 378/1500
313/313 - 2s - loss: 0.1120 - categorical_accuracy: 0.9608 - val_loss: 0.6711 - val_categorical_accuracy: 0.8337 - 2s/epoch - 7ms/step
Epoch 379/1500
313/313 - 2s - loss: 0.1239 - categorical_accuracy: 0.9570 - val_loss: 0.5482 - val_categorical_accuracy: 0.8702 - 2s/epoch - 8ms/step
Epoch 380/1500
313/313 - 2s - loss: 0.1169 - categorical_accuracy: 0.9589 - val_loss: 1.5847 - val_categorical_accuracy: 0.7661 - 2s/epoch - 7ms/step
Epoch 381/1500
313/313 - 2s - loss: 0.1285 - categorical_accuracy: 0.9567 - val_loss: 0.4196 - val_categorical_accuracy: 0.8848 - 2s/epoch - 7ms/step
Epoch 382/1500
313/313 - 2s - loss: 0.1149 - categorical_accuracy: 0.9595 - val_loss: 0.8090 - val_categorical_accuracy: 0.8215 - 2s/epoch - 8ms/step
Epoch 383/1500
313/313 - 2s - loss: 0.1196 - categorical_accuracy: 0.9579 - val_loss: 0.3798 - val_categorical_accuracy: 0.9031 - 2s/epoch - 7ms/step
Epoch 384/1500
313/313 - 2s - loss: 0.1165 - categorical_accuracy: 0.9594 - val_loss: 0.6271 - val_categorical_accuracy: 0.8483 - 2s/epoch - 7ms/step
Epoch 385/1500
313/313 - 2s - loss: 0.1219 - categorical_accuracy: 0.9574 - val_loss: 0.3301 - val_categorical_accuracy: 0.9172 - 2s/epoch - 7ms/step
Epoch 386/1500
313/313 - 2s - loss: 0.1122 - categorical_accuracy: 0.9604 - val_loss: 1.4734 - val_categorical_accuracy: 0.7729 - 2s/epoch - 7ms/step
Epoch 387/1500
313/313 - 2s - loss: 0.1320 - categorical_accuracy: 0.9552 - val_loss: 0.6826 - val_categorical_accuracy: 0.8527 - 2s/epoch - 7ms/step
Epoch 388/1500
313/313 - 2s - loss: 0.1230 - categorical_accuracy: 0.9574 - val_loss: 0.3669 - val_categorical_accuracy: 0.9032 - 2s/epoch - 8ms/step
Epoch 389/1500
313/313 - 2s - loss: 0.1129 - categorical_accuracy: 0.9606 - val_loss: 1.5080 - val_categorical_accuracy: 0.7701 - 2s/epoch - 7ms/step
Epoch 390/1500
313/313 - 2s - loss: 0.1380 - categorical_accuracy: 0.9549 - val_loss: 0.6783 - val_categorical_accuracy: 0.8301 - 2s/epoch - 7ms/step
Epoch 391/1500
313/313 - 2s - loss: 0.1194 - categorical_accuracy: 0.9588 - val_loss: 0.3230 - val_categorical_accuracy: 0.9152 - 2s/epoch - 8ms/step
Epoch 392/1500
313/313 - 2s - loss: 0.1122 - categorical_accuracy: 0.9606 - val_loss: 0.5560 - val_categorical_accuracy: 0.8588 - 2s/epoch - 7ms/step
Epoch 393/1500
313/313 - 2s - loss: 0.1127 - categorical_accuracy: 0.9605 - val_loss: 0.3506 - val_categorical_accuracy: 0.9122 - 2s/epoch - 8ms/step
Epoch 394/1500
313/313 - 2s - loss: 0.1110 - categorical_accuracy: 0.9607 - val_loss: 0.3528 - val_categorical_accuracy: 0.9116 - 2s/epoch - 8ms/step
Epoch 395/1500
313/313 - 2s - loss: 0.1147 - categorical_accuracy: 0.9597 - val_loss: 0.4788 - val_categorical_accuracy: 0.8815 - 2s/epoch - 7ms/step
Epoch 396/1500
313/313 - 2s - loss: 0.1135 - categorical_accuracy: 0.9604 - val_loss: 0.9585 - val_categorical_accuracy: 0.7928 - 2s/epoch - 7ms/step
Epoch 397/1500
313/313 - 2s - loss: 0.1263 - categorical_accuracy: 0.9567 - val_loss: 1.1826 - val_categorical_accuracy: 0.7544 - 2s/epoch - 8ms/step
Epoch 398/1500
313/313 - 2s - loss: 0.1355 - categorical_accuracy: 0.9552 - val_loss: 0.6323 - val_categorical_accuracy: 0.8410 - 2s/epoch - 7ms/step
Epoch 399/1500
313/313 - 2s - loss: 0.1160 - categorical_accuracy: 0.9591 - val_loss: 0.3879 - val_categorical_accuracy: 0.9025 - 2s/epoch - 7ms/step
Epoch 400/1500
313/313 - 2s - loss: 0.1124 - categorical_accuracy: 0.9604 - val_loss: 0.4022 - val_categorical_accuracy: 0.8976 - 2s/epoch - 7ms/step
Epoch 401/1500
313/313 - 2s - loss: 0.1124 - categorical_accuracy: 0.9604 - val_loss: 0.3275 - val_categorical_accuracy: 0.9201 - 2s/epoch - 7ms/step
Epoch 402/1500
313/313 - 2s - loss: 0.1138 - categorical_accuracy: 0.9601 - val_loss: 0.3231 - val_categorical_accuracy: 0.9165 - 2s/epoch - 7ms/step
Epoch 403/1500
313/313 - 2s - loss: 0.1117 - categorical_accuracy: 0.9607 - val_loss: 0.3541 - val_categorical_accuracy: 0.9071 - 2s/epoch - 8ms/step
Epoch 404/1500
313/313 - 2s - loss: 0.1121 - categorical_accuracy: 0.9606 - val_loss: 0.5976 - val_categorical_accuracy: 0.8469 - 2s/epoch - 7ms/step
Epoch 405/1500
313/313 - 2s - loss: 0.1402 - categorical_accuracy: 0.9537 - val_loss: 0.3151 - val_categorical_accuracy: 0.9159 - 2s/epoch - 7ms/step
Epoch 406/1500
313/313 - 2s - loss: 0.1104 - categorical_accuracy: 0.9617 - val_loss: 0.4372 - val_categorical_accuracy: 0.8886 - 2s/epoch - 8ms/step
Epoch 407/1500
313/313 - 2s - loss: 0.1151 - categorical_accuracy: 0.9595 - val_loss: 0.4543 - val_categorical_accuracy: 0.8887 - 2s/epoch - 7ms/step
Epoch 408/1500
313/313 - 2s - loss: 0.1103 - categorical_accuracy: 0.9616 - val_loss: 0.3673 - val_categorical_accuracy: 0.9178 - 2s/epoch - 8ms/step
Epoch 409/1500
313/313 - 2s - loss: 0.1090 - categorical_accuracy: 0.9625 - val_loss: 0.4094 - val_categorical_accuracy: 0.8917 - 2s/epoch - 8ms/step
Epoch 410/1500
313/313 - 2s - loss: 0.1157 - categorical_accuracy: 0.9596 - val_loss: 0.9333 - val_categorical_accuracy: 0.7730 - 2s/epoch - 7ms/step
Epoch 411/1500
313/313 - 2s - loss: 0.1283 - categorical_accuracy: 0.9565 - val_loss: 0.8291 - val_categorical_accuracy: 0.8181 - 2s/epoch - 8ms/step
Epoch 412/1500
313/313 - 2s - loss: 0.1474 - categorical_accuracy: 0.9525 - val_loss: 0.5316 - val_categorical_accuracy: 0.8728 - 2s/epoch - 7ms/step
Epoch 413/1500
313/313 - 2s - loss: 0.1107 - categorical_accuracy: 0.9613 - val_loss: 0.4247 - val_categorical_accuracy: 0.8956 - 2s/epoch - 7ms/step
Epoch 414/1500
313/313 - 2s - loss: 0.1118 - categorical_accuracy: 0.9611 - val_loss: 0.4245 - val_categorical_accuracy: 0.9016 - 2s/epoch - 7ms/step
Epoch 415/1500
313/313 - 2s - loss: 0.1110 - categorical_accuracy: 0.9610 - val_loss: 0.3328 - val_categorical_accuracy: 0.9155 - 2s/epoch - 8ms/step
Epoch 416/1500
313/313 - 2s - loss: 0.1098 - categorical_accuracy: 0.9617 - val_loss: 0.3565 - val_categorical_accuracy: 0.9124 - 2s/epoch - 7ms/step
Epoch 417/1500
313/313 - 2s - loss: 0.1095 - categorical_accuracy: 0.9609 - val_loss: 0.9995 - val_categorical_accuracy: 0.8122 - 2s/epoch - 7ms/step
Epoch 418/1500
313/313 - 2s - loss: 0.1208 - categorical_accuracy: 0.9583 - val_loss: 0.5051 - val_categorical_accuracy: 0.8717 - 2s/epoch - 8ms/step
Epoch 419/1500
313/313 - 2s - loss: 0.1126 - categorical_accuracy: 0.9608 - val_loss: 0.4934 - val_categorical_accuracy: 0.8753 - 2s/epoch - 8ms/step
Epoch 420/1500
313/313 - 2s - loss: 0.1124 - categorical_accuracy: 0.9609 - val_loss: 0.3115 - val_categorical_accuracy: 0.9220 - 2s/epoch - 8ms/step
Epoch 421/1500
313/313 - 2s - loss: 0.1121 - categorical_accuracy: 0.9609 - val_loss: 1.0547 - val_categorical_accuracy: 0.8087 - 2s/epoch - 7ms/step
Epoch 422/1500
313/313 - 2s - loss: 0.1244 - categorical_accuracy: 0.9582 - val_loss: 0.3389 - val_categorical_accuracy: 0.9124 - 2s/epoch - 7ms/step
Epoch 423/1500
313/313 - 2s - loss: 0.1121 - categorical_accuracy: 0.9609 - val_loss: 0.5890 - val_categorical_accuracy: 0.8697 - 2s/epoch - 8ms/step
Epoch 424/1500
313/313 - 2s - loss: 0.1110 - categorical_accuracy: 0.9612 - val_loss: 0.4308 - val_categorical_accuracy: 0.8831 - 2s/epoch - 8ms/step
Epoch 425/1500
313/313 - 2s - loss: 0.1119 - categorical_accuracy: 0.9608 - val_loss: 0.6016 - val_categorical_accuracy: 0.8486 - 2s/epoch - 8ms/step
Epoch 426/1500
313/313 - 2s - loss: 0.1151 - categorical_accuracy: 0.9598 - val_loss: 0.2874 - val_categorical_accuracy: 0.9289 - 2s/epoch - 8ms/step
Epoch 427/1500
313/313 - 2s - loss: 0.1079 - categorical_accuracy: 0.9620 - val_loss: 0.5365 - val_categorical_accuracy: 0.8723 - 2s/epoch - 8ms/step
Epoch 428/1500
313/313 - 2s - loss: 0.1136 - categorical_accuracy: 0.9605 - val_loss: 0.5731 - val_categorical_accuracy: 0.8931 - 2s/epoch - 7ms/step
Epoch 429/1500
313/313 - 2s - loss: 0.1123 - categorical_accuracy: 0.9611 - val_loss: 0.6337 - val_categorical_accuracy: 0.8505 - 2s/epoch - 7ms/step
Epoch 430/1500
313/313 - 2s - loss: 0.1147 - categorical_accuracy: 0.9601 - val_loss: 0.3179 - val_categorical_accuracy: 0.9213 - 2s/epoch - 7ms/step
Epoch 431/1500
313/313 - 2s - loss: 0.1101 - categorical_accuracy: 0.9615 - val_loss: 0.5002 - val_categorical_accuracy: 0.8899 - 2s/epoch - 7ms/step
Epoch 432/1500
313/313 - 2s - loss: 0.1138 - categorical_accuracy: 0.9602 - val_loss: 0.5838 - val_categorical_accuracy: 0.8658 - 2s/epoch - 8ms/step
Epoch 433/1500
313/313 - 2s - loss: 0.1143 - categorical_accuracy: 0.9598 - val_loss: 0.9586 - val_categorical_accuracy: 0.8190 - 2s/epoch - 7ms/step
Epoch 434/1500
313/313 - 2s - loss: 0.1205 - categorical_accuracy: 0.9588 - val_loss: 2.1336 - val_categorical_accuracy: 0.7365 - 2s/epoch - 8ms/step
Epoch 435/1500
313/313 - 2s - loss: 0.1465 - categorical_accuracy: 0.9534 - val_loss: 0.2992 - val_categorical_accuracy: 0.9219 - 2s/epoch - 7ms/step
Epoch 436/1500
313/313 - 2s - loss: 0.1092 - categorical_accuracy: 0.9615 - val_loss: 0.9249 - val_categorical_accuracy: 0.8118 - 2s/epoch - 7ms/step
Epoch 437/1500
313/313 - 2s - loss: 0.1298 - categorical_accuracy: 0.9562 - val_loss: 0.3039 - val_categorical_accuracy: 0.9167 - 2s/epoch - 7ms/step
Epoch 438/1500
313/313 - 2s - loss: 0.1098 - categorical_accuracy: 0.9613 - val_loss: 0.4242 - val_categorical_accuracy: 0.9050 - 2s/epoch - 7ms/step
Epoch 439/1500
313/313 - 2s - loss: 0.1096 - categorical_accuracy: 0.9617 - val_loss: 0.4569 - val_categorical_accuracy: 0.8901 - 2s/epoch - 7ms/step
Epoch 440/1500
313/313 - 2s - loss: 0.1062 - categorical_accuracy: 0.9626 - val_loss: 0.5324 - val_categorical_accuracy: 0.8744 - 2s/epoch - 7ms/step
Epoch 441/1500
313/313 - 2s - loss: 0.1128 - categorical_accuracy: 0.9610 - val_loss: 0.6175 - val_categorical_accuracy: 0.8499 - 2s/epoch - 7ms/step
Epoch 442/1500
313/313 - 2s - loss: 0.1138 - categorical_accuracy: 0.9604 - val_loss: 0.3594 - val_categorical_accuracy: 0.9087 - 2s/epoch - 7ms/step
Epoch 443/1500
313/313 - 2s - loss: 0.1084 - categorical_accuracy: 0.9621 - val_loss: 0.6471 - val_categorical_accuracy: 0.8502 - 2s/epoch - 7ms/step
Epoch 444/1500
313/313 - 2s - loss: 0.1139 - categorical_accuracy: 0.9600 - val_loss: 0.3586 - val_categorical_accuracy: 0.9125 - 2s/epoch - 7ms/step
Epoch 445/1500
313/313 - 2s - loss: 0.1081 - categorical_accuracy: 0.9616 - val_loss: 0.7907 - val_categorical_accuracy: 0.8168 - 2s/epoch - 8ms/step
Epoch 446/1500
313/313 - 2s - loss: 0.1236 - categorical_accuracy: 0.9576 - val_loss: 0.3234 - val_categorical_accuracy: 0.9207 - 2s/epoch - 7ms/step
Epoch 447/1500
313/313 - 2s - loss: 0.1089 - categorical_accuracy: 0.9619 - val_loss: 0.3724 - val_categorical_accuracy: 0.9059 - 2s/epoch - 8ms/step
Epoch 448/1500
313/313 - 2s - loss: 0.1101 - categorical_accuracy: 0.9617 - val_loss: 0.4616 - val_categorical_accuracy: 0.8948 - 2s/epoch - 7ms/step
Epoch 449/1500
313/313 - 2s - loss: 0.1107 - categorical_accuracy: 0.9611 - val_loss: 0.5605 - val_categorical_accuracy: 0.8651 - 2s/epoch - 7ms/step
Epoch 450/1500
313/313 - 2s - loss: 0.1106 - categorical_accuracy: 0.9606 - val_loss: 0.4806 - val_categorical_accuracy: 0.8928 - 2s/epoch - 8ms/step
Epoch 451/1500
313/313 - 2s - loss: 0.1119 - categorical_accuracy: 0.9611 - val_loss: 0.5227 - val_categorical_accuracy: 0.8868 - 2s/epoch - 7ms/step
Epoch 452/1500
313/313 - 2s - loss: 0.1111 - categorical_accuracy: 0.9613 - val_loss: 0.5887 - val_categorical_accuracy: 0.8699 - 2s/epoch - 7ms/step
Epoch 453/1500
313/313 - 2s - loss: 0.1125 - categorical_accuracy: 0.9609 - val_loss: 0.3492 - val_categorical_accuracy: 0.9118 - 2s/epoch - 7ms/step
Epoch 454/1500
313/313 - 2s - loss: 0.1089 - categorical_accuracy: 0.9617 - val_loss: 0.3283 - val_categorical_accuracy: 0.9201 - 2s/epoch - 7ms/step
Epoch 455/1500
313/313 - 2s - loss: 0.1138 - categorical_accuracy: 0.9605 - val_loss: 0.3527 - val_categorical_accuracy: 0.9127 - 2s/epoch - 8ms/step
Epoch 456/1500
313/313 - 2s - loss: 0.1074 - categorical_accuracy: 0.9626 - val_loss: 1.6533 - val_categorical_accuracy: 0.6917 - 2s/epoch - 8ms/step
Epoch 457/1500
313/313 - 2s - loss: 0.1407 - categorical_accuracy: 0.9544 - val_loss: 0.4086 - val_categorical_accuracy: 0.9031 - 2s/epoch - 7ms/step
Epoch 458/1500
313/313 - 2s - loss: 0.1102 - categorical_accuracy: 0.9613 - val_loss: 0.4160 - val_categorical_accuracy: 0.8941 - 2s/epoch - 7ms/step
Epoch 459/1500
313/313 - 2s - loss: 0.1081 - categorical_accuracy: 0.9625 - val_loss: 0.3282 - val_categorical_accuracy: 0.9162 - 2s/epoch - 7ms/step
Epoch 460/1500
313/313 - 2s - loss: 0.1060 - categorical_accuracy: 0.9630 - val_loss: 1.0679 - val_categorical_accuracy: 0.7752 - 2s/epoch - 7ms/step
Epoch 461/1500
313/313 - 2s - loss: 0.1239 - categorical_accuracy: 0.9576 - val_loss: 0.4304 - val_categorical_accuracy: 0.9029 - 2s/epoch - 7ms/step
Epoch 462/1500
313/313 - 2s - loss: 0.1070 - categorical_accuracy: 0.9627 - val_loss: 0.5642 - val_categorical_accuracy: 0.8524 - 2s/epoch - 7ms/step
Epoch 463/1500
313/313 - 2s - loss: 0.1091 - categorical_accuracy: 0.9627 - val_loss: 0.3014 - val_categorical_accuracy: 0.9230 - 2s/epoch - 7ms/step
Epoch 464/1500
313/313 - 2s - loss: 0.1057 - categorical_accuracy: 0.9630 - val_loss: 0.8155 - val_categorical_accuracy: 0.8427 - 2s/epoch - 7ms/step
Epoch 465/1500
313/313 - 2s - loss: 0.1148 - categorical_accuracy: 0.9603 - val_loss: 0.7461 - val_categorical_accuracy: 0.8339 - 2s/epoch - 7ms/step
Epoch 466/1500
313/313 - 2s - loss: 0.1161 - categorical_accuracy: 0.9602 - val_loss: 0.3628 - val_categorical_accuracy: 0.9143 - 2s/epoch - 7ms/step
Epoch 467/1500
313/313 - 2s - loss: 0.1089 - categorical_accuracy: 0.9615 - val_loss: 0.9314 - val_categorical_accuracy: 0.7894 - 2s/epoch - 7ms/step
Epoch 468/1500
313/313 - 2s - loss: 0.1158 - categorical_accuracy: 0.9597 - val_loss: 0.4587 - val_categorical_accuracy: 0.8834 - 2s/epoch - 7ms/step
Epoch 469/1500
313/313 - 2s - loss: 0.1080 - categorical_accuracy: 0.9621 - val_loss: 1.1253 - val_categorical_accuracy: 0.7762 - 2s/epoch - 7ms/step
Epoch 470/1500
313/313 - 2s - loss: 0.1313 - categorical_accuracy: 0.9568 - val_loss: 0.5578 - val_categorical_accuracy: 0.8785 - 2s/epoch - 7ms/step
Epoch 471/1500
313/313 - 2s - loss: 0.1094 - categorical_accuracy: 0.9614 - val_loss: 0.8141 - val_categorical_accuracy: 0.8322 - 2s/epoch - 8ms/step
Epoch 472/1500
313/313 - 2s - loss: 0.1127 - categorical_accuracy: 0.9610 - val_loss: 0.4174 - val_categorical_accuracy: 0.8944 - 2s/epoch - 7ms/step
Epoch 473/1500
313/313 - 2s - loss: 0.1074 - categorical_accuracy: 0.9628 - val_loss: 0.5544 - val_categorical_accuracy: 0.8763 - 2s/epoch - 7ms/step
Epoch 474/1500
313/313 - 2s - loss: 0.1087 - categorical_accuracy: 0.9614 - val_loss: 0.2952 - val_categorical_accuracy: 0.9248 - 2s/epoch - 7ms/step
Epoch 475/1500
313/313 - 2s - loss: 0.1046 - categorical_accuracy: 0.9630 - val_loss: 0.3106 - val_categorical_accuracy: 0.9237 - 2s/epoch - 7ms/step
Epoch 476/1500
313/313 - 2s - loss: 0.1056 - categorical_accuracy: 0.9635 - val_loss: 0.3792 - val_categorical_accuracy: 0.9012 - 2s/epoch - 7ms/step
Epoch 477/1500
313/313 - 2s - loss: 0.1057 - categorical_accuracy: 0.9629 - val_loss: 0.4222 - val_categorical_accuracy: 0.8893 - 2s/epoch - 7ms/step
Epoch 478/1500
313/313 - 2s - loss: 0.1098 - categorical_accuracy: 0.9616 - val_loss: 0.3980 - val_categorical_accuracy: 0.8961 - 2s/epoch - 7ms/step
Epoch 479/1500
313/313 - 2s - loss: 0.1080 - categorical_accuracy: 0.9620 - val_loss: 0.6862 - val_categorical_accuracy: 0.8542 - 2s/epoch - 7ms/step
Epoch 480/1500
313/313 - 2s - loss: 0.1136 - categorical_accuracy: 0.9611 - val_loss: 0.4395 - val_categorical_accuracy: 0.8929 - 2s/epoch - 7ms/step
Epoch 481/1500
313/313 - 2s - loss: 0.1082 - categorical_accuracy: 0.9624 - val_loss: 1.6830 - val_categorical_accuracy: 0.7405 - 2s/epoch - 7ms/step
Epoch 482/1500
313/313 - 2s - loss: 0.1394 - categorical_accuracy: 0.9554 - val_loss: 0.5919 - val_categorical_accuracy: 0.8583 - 2s/epoch - 7ms/step
Epoch 483/1500
313/313 - 2s - loss: 0.1097 - categorical_accuracy: 0.9619 - val_loss: 0.4913 - val_categorical_accuracy: 0.8861 - 2s/epoch - 7ms/step
Epoch 484/1500
313/313 - 2s - loss: 0.1028 - categorical_accuracy: 0.9640 - val_loss: 0.3212 - val_categorical_accuracy: 0.9213 - 2s/epoch - 7ms/step
Epoch 485/1500
313/313 - 2s - loss: 0.1056 - categorical_accuracy: 0.9630 - val_loss: 0.5289 - val_categorical_accuracy: 0.8819 - 2s/epoch - 7ms/step
Epoch 486/1500
313/313 - 2s - loss: 0.1069 - categorical_accuracy: 0.9629 - val_loss: 0.5065 - val_categorical_accuracy: 0.8780 - 2s/epoch - 7ms/step
Epoch 487/1500
313/313 - 2s - loss: 0.1114 - categorical_accuracy: 0.9609 - val_loss: 0.3195 - val_categorical_accuracy: 0.9220 - 2s/epoch - 7ms/step
Epoch 488/1500
313/313 - 2s - loss: 0.1038 - categorical_accuracy: 0.9633 - val_loss: 0.4095 - val_categorical_accuracy: 0.9035 - 2s/epoch - 7ms/step
Epoch 489/1500
313/313 - 2s - loss: 0.1067 - categorical_accuracy: 0.9627 - val_loss: 0.4664 - val_categorical_accuracy: 0.8968 - 2s/epoch - 7ms/step
Epoch 490/1500
313/313 - 2s - loss: 0.1101 - categorical_accuracy: 0.9612 - val_loss: 0.6341 - val_categorical_accuracy: 0.8524 - 2s/epoch - 7ms/step
Epoch 491/1500
313/313 - 2s - loss: 0.1138 - categorical_accuracy: 0.9606 - val_loss: 0.4286 - val_categorical_accuracy: 0.9020 - 2s/epoch - 7ms/step
Epoch 492/1500
313/313 - 2s - loss: 0.1092 - categorical_accuracy: 0.9614 - val_loss: 2.3226 - val_categorical_accuracy: 0.6959 - 2s/epoch - 7ms/step
Epoch 493/1500
313/313 - 2s - loss: 0.1595 - categorical_accuracy: 0.9516 - val_loss: 0.3710 - val_categorical_accuracy: 0.9050 - 2s/epoch - 7ms/step
Epoch 494/1500
313/313 - 2s - loss: 0.1040 - categorical_accuracy: 0.9628 - val_loss: 0.3192 - val_categorical_accuracy: 0.9185 - 2s/epoch - 7ms/step
Epoch 495/1500
313/313 - 2s - loss: 0.1047 - categorical_accuracy: 0.9631 - val_loss: 0.4889 - val_categorical_accuracy: 0.8765 - 2s/epoch - 7ms/step
Epoch 496/1500
313/313 - 2s - loss: 0.1062 - categorical_accuracy: 0.9629 - val_loss: 0.5739 - val_categorical_accuracy: 0.8674 - 2s/epoch - 8ms/step
Epoch 497/1500
313/313 - 2s - loss: 0.1103 - categorical_accuracy: 0.9611 - val_loss: 0.4366 - val_categorical_accuracy: 0.8885 - 2s/epoch - 7ms/step
Epoch 498/1500
313/313 - 2s - loss: 0.1082 - categorical_accuracy: 0.9622 - val_loss: 0.3411 - val_categorical_accuracy: 0.9137 - 2s/epoch - 7ms/step
Epoch 499/1500
313/313 - 2s - loss: 0.1043 - categorical_accuracy: 0.9639 - val_loss: 0.6524 - val_categorical_accuracy: 0.8446 - 2s/epoch - 7ms/step
Epoch 500/1500
313/313 - 2s - loss: 0.1077 - categorical_accuracy: 0.9625 - val_loss: 1.4498 - val_categorical_accuracy: 0.7951 - 2s/epoch - 7ms/step
Epoch 501/1500
313/313 - 2s - loss: 0.1478 - categorical_accuracy: 0.9539 - val_loss: 0.3310 - val_categorical_accuracy: 0.9164 - 2s/epoch - 7ms/step
Epoch 502/1500
313/313 - 2s - loss: 0.1034 - categorical_accuracy: 0.9638 - val_loss: 0.5296 - val_categorical_accuracy: 0.8844 - 2s/epoch - 7ms/step
Epoch 503/1500
313/313 - 2s - loss: 0.1067 - categorical_accuracy: 0.9627 - val_loss: 0.4619 - val_categorical_accuracy: 0.8948 - 2s/epoch - 7ms/step
Epoch 504/1500
313/313 - 2s - loss: 0.1055 - categorical_accuracy: 0.9629 - val_loss: 2.4264 - val_categorical_accuracy: 0.6509 - 2s/epoch - 7ms/step
Epoch 505/1500
313/313 - 2s - loss: 0.1519 - categorical_accuracy: 0.9515 - val_loss: 0.6289 - val_categorical_accuracy: 0.8437 - 2s/epoch - 7ms/step
Epoch 506/1500
313/313 - 2s - loss: 0.1066 - categorical_accuracy: 0.9627 - val_loss: 0.3429 - val_categorical_accuracy: 0.9160 - 2s/epoch - 7ms/step
Epoch 507/1500
313/313 - 2s - loss: 0.1037 - categorical_accuracy: 0.9633 - val_loss: 1.2171 - val_categorical_accuracy: 0.7910 - 2s/epoch - 7ms/step
Epoch 508/1500
313/313 - 2s - loss: 0.1315 - categorical_accuracy: 0.9571 - val_loss: 0.5133 - val_categorical_accuracy: 0.8795 - 2s/epoch - 7ms/step
Epoch 509/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9639 - val_loss: 0.3740 - val_categorical_accuracy: 0.9054 - 2s/epoch - 7ms/step
Epoch 510/1500
313/313 - 2s - loss: 0.1026 - categorical_accuracy: 0.9638 - val_loss: 0.5023 - val_categorical_accuracy: 0.8751 - 2s/epoch - 7ms/step
Epoch 511/1500
313/313 - 2s - loss: 0.1058 - categorical_accuracy: 0.9631 - val_loss: 0.4305 - val_categorical_accuracy: 0.9000 - 2s/epoch - 7ms/step
Epoch 512/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9641 - val_loss: 0.9639 - val_categorical_accuracy: 0.7829 - 2s/epoch - 7ms/step
Epoch 513/1500
313/313 - 2s - loss: 0.1200 - categorical_accuracy: 0.9596 - val_loss: 0.6806 - val_categorical_accuracy: 0.8434 - 2s/epoch - 7ms/step
Epoch 514/1500
313/313 - 2s - loss: 0.1252 - categorical_accuracy: 0.9582 - val_loss: 2.3126 - val_categorical_accuracy: 0.6985 - 2s/epoch - 7ms/step
Epoch 515/1500
313/313 - 2s - loss: 0.1477 - categorical_accuracy: 0.9533 - val_loss: 0.3312 - val_categorical_accuracy: 0.9097 - 2s/epoch - 7ms/step
Epoch 516/1500
313/313 - 2s - loss: 0.1034 - categorical_accuracy: 0.9638 - val_loss: 0.3966 - val_categorical_accuracy: 0.9057 - 2s/epoch - 7ms/step
Epoch 517/1500
313/313 - 2s - loss: 0.1017 - categorical_accuracy: 0.9647 - val_loss: 0.3323 - val_categorical_accuracy: 0.9174 - 2s/epoch - 7ms/step
Epoch 518/1500
313/313 - 2s - loss: 0.1025 - categorical_accuracy: 0.9638 - val_loss: 0.4854 - val_categorical_accuracy: 0.8882 - 2s/epoch - 7ms/step
Epoch 519/1500
313/313 - 2s - loss: 0.1038 - categorical_accuracy: 0.9640 - val_loss: 0.9786 - val_categorical_accuracy: 0.8160 - 2s/epoch - 7ms/step
Epoch 520/1500
313/313 - 2s - loss: 0.1113 - categorical_accuracy: 0.9618 - val_loss: 1.2472 - val_categorical_accuracy: 0.7897 - 2s/epoch - 7ms/step
Epoch 521/1500
313/313 - 2s - loss: 0.1221 - categorical_accuracy: 0.9589 - val_loss: 0.4125 - val_categorical_accuracy: 0.8970 - 2s/epoch - 7ms/step
Epoch 522/1500
313/313 - 2s - loss: 0.1044 - categorical_accuracy: 0.9630 - val_loss: 0.9141 - val_categorical_accuracy: 0.8105 - 2s/epoch - 7ms/step
Epoch 523/1500
313/313 - 2s - loss: 0.1113 - categorical_accuracy: 0.9616 - val_loss: 0.3938 - val_categorical_accuracy: 0.9023 - 2s/epoch - 8ms/step
Epoch 524/1500
313/313 - 2s - loss: 0.1048 - categorical_accuracy: 0.9636 - val_loss: 0.5104 - val_categorical_accuracy: 0.8695 - 2s/epoch - 7ms/step
Epoch 525/1500
313/313 - 2s - loss: 0.1090 - categorical_accuracy: 0.9625 - val_loss: 0.4191 - val_categorical_accuracy: 0.9021 - 2s/epoch - 7ms/step
Epoch 526/1500
313/313 - 2s - loss: 0.1042 - categorical_accuracy: 0.9631 - val_loss: 0.4152 - val_categorical_accuracy: 0.8970 - 2s/epoch - 7ms/step
Epoch 527/1500
313/313 - 2s - loss: 0.1040 - categorical_accuracy: 0.9634 - val_loss: 0.7538 - val_categorical_accuracy: 0.8431 - 2s/epoch - 7ms/step
Epoch 528/1500
313/313 - 2s - loss: 0.1114 - categorical_accuracy: 0.9614 - val_loss: 0.3903 - val_categorical_accuracy: 0.9034 - 2s/epoch - 7ms/step
Epoch 529/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9639 - val_loss: 0.3514 - val_categorical_accuracy: 0.9176 - 2s/epoch - 7ms/step
Epoch 530/1500
313/313 - 2s - loss: 0.1031 - categorical_accuracy: 0.9640 - val_loss: 0.7074 - val_categorical_accuracy: 0.8526 - 2s/epoch - 7ms/step
Epoch 531/1500
313/313 - 2s - loss: 0.1147 - categorical_accuracy: 0.9604 - val_loss: 0.3357 - val_categorical_accuracy: 0.9146 - 2s/epoch - 7ms/step
Epoch 532/1500
313/313 - 2s - loss: 0.1031 - categorical_accuracy: 0.9639 - val_loss: 0.4876 - val_categorical_accuracy: 0.8866 - 2s/epoch - 7ms/step
Epoch 533/1500
313/313 - 2s - loss: 0.1050 - categorical_accuracy: 0.9636 - val_loss: 1.6552 - val_categorical_accuracy: 0.7521 - 2s/epoch - 7ms/step
Epoch 534/1500
313/313 - 2s - loss: 0.1216 - categorical_accuracy: 0.9593 - val_loss: 1.4765 - val_categorical_accuracy: 0.7441 - 2s/epoch - 7ms/step
Epoch 535/1500
313/313 - 2s - loss: 0.1257 - categorical_accuracy: 0.9592 - val_loss: 0.5896 - val_categorical_accuracy: 0.8520 - 2s/epoch - 8ms/step
Epoch 536/1500
313/313 - 2s - loss: 0.1037 - categorical_accuracy: 0.9636 - val_loss: 0.6181 - val_categorical_accuracy: 0.8836 - 2s/epoch - 7ms/step
Epoch 537/1500
313/313 - 2s - loss: 0.1045 - categorical_accuracy: 0.9640 - val_loss: 0.6853 - val_categorical_accuracy: 0.8514 - 2s/epoch - 7ms/step
Epoch 538/1500
313/313 - 2s - loss: 0.1251 - categorical_accuracy: 0.9582 - val_loss: 1.4784 - val_categorical_accuracy: 0.7560 - 2s/epoch - 7ms/step
Epoch 539/1500
313/313 - 2s - loss: 0.1259 - categorical_accuracy: 0.9590 - val_loss: 0.3197 - val_categorical_accuracy: 0.9237 - 2s/epoch - 7ms/step
Epoch 540/1500
313/313 - 2s - loss: 0.0999 - categorical_accuracy: 0.9646 - val_loss: 0.3440 - val_categorical_accuracy: 0.9125 - 2s/epoch - 7ms/step
Epoch 541/1500
313/313 - 2s - loss: 0.1008 - categorical_accuracy: 0.9647 - val_loss: 0.5957 - val_categorical_accuracy: 0.8729 - 2s/epoch - 7ms/step
Epoch 542/1500
313/313 - 2s - loss: 0.1065 - categorical_accuracy: 0.9629 - val_loss: 0.4262 - val_categorical_accuracy: 0.9026 - 2s/epoch - 7ms/step
Epoch 543/1500
313/313 - 2s - loss: 0.1047 - categorical_accuracy: 0.9629 - val_loss: 0.6670 - val_categorical_accuracy: 0.8717 - 2s/epoch - 7ms/step
Epoch 544/1500
313/313 - 2s - loss: 0.1062 - categorical_accuracy: 0.9635 - val_loss: 0.3595 - val_categorical_accuracy: 0.9143 - 2s/epoch - 7ms/step
Epoch 545/1500
313/313 - 2s - loss: 0.1041 - categorical_accuracy: 0.9640 - val_loss: 0.8519 - val_categorical_accuracy: 0.8562 - 2s/epoch - 7ms/step
Epoch 546/1500
313/313 - 2s - loss: 0.1123 - categorical_accuracy: 0.9612 - val_loss: 0.8569 - val_categorical_accuracy: 0.8302 - 2s/epoch - 7ms/step
Epoch 547/1500
313/313 - 2s - loss: 0.1139 - categorical_accuracy: 0.9609 - val_loss: 0.6028 - val_categorical_accuracy: 0.8624 - 2s/epoch - 7ms/step
Epoch 548/1500
313/313 - 2s - loss: 0.1071 - categorical_accuracy: 0.9625 - val_loss: 0.3141 - val_categorical_accuracy: 0.9287 - 2s/epoch - 7ms/step
Epoch 549/1500
313/313 - 2s - loss: 0.1013 - categorical_accuracy: 0.9645 - val_loss: 0.5142 - val_categorical_accuracy: 0.8895 - 2s/epoch - 7ms/step
Epoch 550/1500
313/313 - 2s - loss: 0.1045 - categorical_accuracy: 0.9636 - val_loss: 0.3268 - val_categorical_accuracy: 0.9216 - 2s/epoch - 7ms/step
Epoch 551/1500
313/313 - 2s - loss: 0.1017 - categorical_accuracy: 0.9638 - val_loss: 0.4808 - val_categorical_accuracy: 0.8851 - 2s/epoch - 7ms/step
Epoch 552/1500
313/313 - 2s - loss: 0.1035 - categorical_accuracy: 0.9641 - val_loss: 0.6612 - val_categorical_accuracy: 0.8590 - 2s/epoch - 7ms/step
Epoch 553/1500
313/313 - 2s - loss: 0.1060 - categorical_accuracy: 0.9628 - val_loss: 0.3115 - val_categorical_accuracy: 0.9252 - 2s/epoch - 7ms/step
Epoch 554/1500
313/313 - 2s - loss: 0.1046 - categorical_accuracy: 0.9633 - val_loss: 0.4483 - val_categorical_accuracy: 0.8943 - 2s/epoch - 7ms/step
Epoch 555/1500
313/313 - 2s - loss: 0.1032 - categorical_accuracy: 0.9641 - val_loss: 0.3373 - val_categorical_accuracy: 0.9181 - 2s/epoch - 7ms/step
Epoch 556/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9648 - val_loss: 0.6961 - val_categorical_accuracy: 0.8586 - 2s/epoch - 7ms/step
Epoch 557/1500
313/313 - 2s - loss: 0.1065 - categorical_accuracy: 0.9632 - val_loss: 0.9687 - val_categorical_accuracy: 0.8266 - 2s/epoch - 7ms/step
Epoch 558/1500
313/313 - 2s - loss: 0.1237 - categorical_accuracy: 0.9595 - val_loss: 0.3445 - val_categorical_accuracy: 0.9138 - 2s/epoch - 7ms/step
Epoch 559/1500
313/313 - 2s - loss: 0.1000 - categorical_accuracy: 0.9650 - val_loss: 0.3975 - val_categorical_accuracy: 0.9088 - 2s/epoch - 7ms/step
Epoch 560/1500
313/313 - 2s - loss: 0.1009 - categorical_accuracy: 0.9649 - val_loss: 1.8888 - val_categorical_accuracy: 0.7258 - 2s/epoch - 7ms/step
Epoch 561/1500
313/313 - 2s - loss: 0.1353 - categorical_accuracy: 0.9569 - val_loss: 0.8225 - val_categorical_accuracy: 0.8191 - 2s/epoch - 7ms/step
Epoch 562/1500
313/313 - 2s - loss: 0.1104 - categorical_accuracy: 0.9616 - val_loss: 0.4126 - val_categorical_accuracy: 0.8976 - 2s/epoch - 7ms/step
Epoch 563/1500
313/313 - 2s - loss: 0.1021 - categorical_accuracy: 0.9645 - val_loss: 0.5783 - val_categorical_accuracy: 0.8665 - 2s/epoch - 7ms/step
Epoch 564/1500
313/313 - 2s - loss: 0.1039 - categorical_accuracy: 0.9640 - val_loss: 0.3246 - val_categorical_accuracy: 0.9216 - 2s/epoch - 7ms/step
Epoch 565/1500
313/313 - 2s - loss: 0.1015 - categorical_accuracy: 0.9640 - val_loss: 0.3597 - val_categorical_accuracy: 0.9109 - 2s/epoch - 7ms/step
Epoch 566/1500
313/313 - 2s - loss: 0.0993 - categorical_accuracy: 0.9653 - val_loss: 0.4418 - val_categorical_accuracy: 0.9039 - 2s/epoch - 7ms/step
Epoch 567/1500
313/313 - 2s - loss: 0.1002 - categorical_accuracy: 0.9655 - val_loss: 0.9636 - val_categorical_accuracy: 0.8290 - 2s/epoch - 7ms/step
Epoch 568/1500
313/313 - 2s - loss: 0.1157 - categorical_accuracy: 0.9605 - val_loss: 1.3081 - val_categorical_accuracy: 0.7935 - 2s/epoch - 7ms/step
Epoch 569/1500
313/313 - 2s - loss: 0.1207 - categorical_accuracy: 0.9595 - val_loss: 0.5034 - val_categorical_accuracy: 0.8859 - 2s/epoch - 7ms/step
Epoch 570/1500
313/313 - 2s - loss: 0.1040 - categorical_accuracy: 0.9638 - val_loss: 0.5366 - val_categorical_accuracy: 0.8785 - 2s/epoch - 7ms/step
Epoch 571/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9647 - val_loss: 0.3686 - val_categorical_accuracy: 0.9155 - 2s/epoch - 7ms/step
Epoch 572/1500
313/313 - 2s - loss: 0.1038 - categorical_accuracy: 0.9636 - val_loss: 0.5201 - val_categorical_accuracy: 0.8748 - 2s/epoch - 7ms/step
Epoch 573/1500
313/313 - 2s - loss: 0.1042 - categorical_accuracy: 0.9640 - val_loss: 1.1087 - val_categorical_accuracy: 0.8016 - 2s/epoch - 7ms/step
Epoch 574/1500
313/313 - 2s - loss: 0.1162 - categorical_accuracy: 0.9608 - val_loss: 0.4927 - val_categorical_accuracy: 0.8885 - 2s/epoch - 7ms/step
Epoch 575/1500
313/313 - 2s - loss: 0.1100 - categorical_accuracy: 0.9618 - val_loss: 0.5382 - val_categorical_accuracy: 0.8651 - 2s/epoch - 7ms/step
Epoch 576/1500
313/313 - 2s - loss: 0.1034 - categorical_accuracy: 0.9636 - val_loss: 0.3412 - val_categorical_accuracy: 0.9148 - 2s/epoch - 7ms/step
Epoch 577/1500
313/313 - 2s - loss: 0.1032 - categorical_accuracy: 0.9638 - val_loss: 0.4034 - val_categorical_accuracy: 0.9091 - 2s/epoch - 8ms/step
Epoch 578/1500
313/313 - 2s - loss: 0.1037 - categorical_accuracy: 0.9639 - val_loss: 0.6001 - val_categorical_accuracy: 0.8691 - 2s/epoch - 7ms/step
Epoch 579/1500
313/313 - 2s - loss: 0.1008 - categorical_accuracy: 0.9650 - val_loss: 4.7309 - val_categorical_accuracy: 0.5483 - 2s/epoch - 7ms/step
Epoch 580/1500
313/313 - 2s - loss: 0.6826 - categorical_accuracy: 0.8036 - val_loss: 0.4825 - val_categorical_accuracy: 0.8447 - 2s/epoch - 7ms/step
Epoch 581/1500
313/313 - 2s - loss: 0.2163 - categorical_accuracy: 0.9240 - val_loss: 0.8446 - val_categorical_accuracy: 0.7685 - 2s/epoch - 7ms/step
Epoch 582/1500
313/313 - 2s - loss: 0.1650 - categorical_accuracy: 0.9419 - val_loss: 0.5329 - val_categorical_accuracy: 0.8655 - 2s/epoch - 7ms/step
Epoch 583/1500
313/313 - 2s - loss: 0.1387 - categorical_accuracy: 0.9505 - val_loss: 0.5750 - val_categorical_accuracy: 0.8430 - 2s/epoch - 7ms/step
Epoch 584/1500
313/313 - 2s - loss: 0.1302 - categorical_accuracy: 0.9546 - val_loss: 0.4114 - val_categorical_accuracy: 0.8915 - 2s/epoch - 7ms/step
Epoch 585/1500
313/313 - 2s - loss: 0.1204 - categorical_accuracy: 0.9572 - val_loss: 0.8027 - val_categorical_accuracy: 0.8254 - 2s/epoch - 7ms/step
Epoch 586/1500
313/313 - 2s - loss: 0.1254 - categorical_accuracy: 0.9563 - val_loss: 0.2981 - val_categorical_accuracy: 0.9234 - 2s/epoch - 7ms/step
Epoch 587/1500
313/313 - 2s - loss: 0.1155 - categorical_accuracy: 0.9597 - val_loss: 0.3629 - val_categorical_accuracy: 0.9096 - 2s/epoch - 7ms/step
Epoch 588/1500
313/313 - 2s - loss: 0.1139 - categorical_accuracy: 0.9602 - val_loss: 0.3760 - val_categorical_accuracy: 0.8988 - 2s/epoch - 7ms/step
Epoch 589/1500
313/313 - 2s - loss: 0.1122 - categorical_accuracy: 0.9604 - val_loss: 0.4553 - val_categorical_accuracy: 0.8824 - 2s/epoch - 7ms/step
Epoch 590/1500
313/313 - 2s - loss: 0.1138 - categorical_accuracy: 0.9600 - val_loss: 0.4414 - val_categorical_accuracy: 0.8975 - 2s/epoch - 7ms/step
Epoch 591/1500
313/313 - 2s - loss: 0.1109 - categorical_accuracy: 0.9616 - val_loss: 0.6581 - val_categorical_accuracy: 0.8534 - 2s/epoch - 7ms/step
Epoch 592/1500
313/313 - 2s - loss: 0.1120 - categorical_accuracy: 0.9612 - val_loss: 0.4053 - val_categorical_accuracy: 0.9003 - 2s/epoch - 7ms/step
Epoch 593/1500
313/313 - 2s - loss: 0.1084 - categorical_accuracy: 0.9622 - val_loss: 0.6634 - val_categorical_accuracy: 0.8584 - 2s/epoch - 7ms/step
Epoch 594/1500
313/313 - 2s - loss: 0.1120 - categorical_accuracy: 0.9610 - val_loss: 0.8367 - val_categorical_accuracy: 0.8560 - 2s/epoch - 7ms/step
Epoch 595/1500
313/313 - 2s - loss: 0.1175 - categorical_accuracy: 0.9599 - val_loss: 0.3560 - val_categorical_accuracy: 0.9044 - 2s/epoch - 7ms/step
Epoch 596/1500
313/313 - 2s - loss: 0.1038 - categorical_accuracy: 0.9637 - val_loss: 1.1618 - val_categorical_accuracy: 0.7575 - 2s/epoch - 7ms/step
Epoch 597/1500
313/313 - 2s - loss: 0.1257 - categorical_accuracy: 0.9581 - val_loss: 0.4600 - val_categorical_accuracy: 0.8931 - 2s/epoch - 7ms/step
Epoch 598/1500
313/313 - 2s - loss: 0.1086 - categorical_accuracy: 0.9622 - val_loss: 0.6230 - val_categorical_accuracy: 0.8376 - 2s/epoch - 7ms/step
Epoch 599/1500
313/313 - 2s - loss: 0.1080 - categorical_accuracy: 0.9628 - val_loss: 0.5522 - val_categorical_accuracy: 0.8596 - 2s/epoch - 7ms/step
Epoch 600/1500
313/313 - 2s - loss: 0.1064 - categorical_accuracy: 0.9629 - val_loss: 0.3871 - val_categorical_accuracy: 0.9035 - 2s/epoch - 7ms/step
Epoch 601/1500
313/313 - 3s - loss: 0.1037 - categorical_accuracy: 0.9636 - val_loss: 0.9098 - val_categorical_accuracy: 0.8367 - 3s/epoch - 8ms/step
Epoch 602/1500
313/313 - 2s - loss: 0.1124 - categorical_accuracy: 0.9611 - val_loss: 0.4081 - val_categorical_accuracy: 0.9043 - 2s/epoch - 8ms/step
Epoch 603/1500
313/313 - 2s - loss: 0.1059 - categorical_accuracy: 0.9630 - val_loss: 0.6832 - val_categorical_accuracy: 0.8597 - 2s/epoch - 7ms/step
Epoch 604/1500
313/313 - 2s - loss: 0.1071 - categorical_accuracy: 0.9628 - val_loss: 0.3197 - val_categorical_accuracy: 0.9257 - 2s/epoch - 7ms/step
Epoch 605/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9644 - val_loss: 0.7036 - val_categorical_accuracy: 0.8446 - 2s/epoch - 7ms/step
Epoch 606/1500
313/313 - 2s - loss: 0.1048 - categorical_accuracy: 0.9639 - val_loss: 0.3553 - val_categorical_accuracy: 0.9125 - 2s/epoch - 8ms/step
Epoch 607/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9642 - val_loss: 0.5381 - val_categorical_accuracy: 0.8778 - 2s/epoch - 7ms/step
Epoch 608/1500
313/313 - 3s - loss: 0.1041 - categorical_accuracy: 0.9636 - val_loss: 0.3274 - val_categorical_accuracy: 0.9173 - 3s/epoch - 8ms/step
Epoch 609/1500
313/313 - 3s - loss: 0.1018 - categorical_accuracy: 0.9640 - val_loss: 0.3544 - val_categorical_accuracy: 0.9136 - 3s/epoch - 8ms/step
Epoch 610/1500
313/313 - 2s - loss: 0.1021 - categorical_accuracy: 0.9643 - val_loss: 0.4766 - val_categorical_accuracy: 0.8848 - 2s/epoch - 8ms/step
Epoch 611/1500
313/313 - 2s - loss: 0.0997 - categorical_accuracy: 0.9652 - val_loss: 0.9829 - val_categorical_accuracy: 0.8134 - 2s/epoch - 8ms/step
Epoch 612/1500
313/313 - 2s - loss: 0.1075 - categorical_accuracy: 0.9630 - val_loss: 0.5921 - val_categorical_accuracy: 0.8776 - 2s/epoch - 7ms/step
Epoch 613/1500
313/313 - 2s - loss: 0.1074 - categorical_accuracy: 0.9625 - val_loss: 1.5166 - val_categorical_accuracy: 0.7766 - 2s/epoch - 7ms/step
Epoch 614/1500
313/313 - 2s - loss: 0.1201 - categorical_accuracy: 0.9605 - val_loss: 0.3535 - val_categorical_accuracy: 0.9150 - 2s/epoch - 7ms/step
Epoch 615/1500
313/313 - 2s - loss: 0.1003 - categorical_accuracy: 0.9654 - val_loss: 0.5394 - val_categorical_accuracy: 0.8806 - 2s/epoch - 7ms/step
Epoch 616/1500
313/313 - 2s - loss: 0.1063 - categorical_accuracy: 0.9627 - val_loss: 0.3116 - val_categorical_accuracy: 0.9250 - 2s/epoch - 7ms/step
Epoch 617/1500
313/313 - 2s - loss: 0.0981 - categorical_accuracy: 0.9654 - val_loss: 0.7073 - val_categorical_accuracy: 0.8482 - 2s/epoch - 7ms/step
Epoch 618/1500
313/313 - 2s - loss: 0.1066 - categorical_accuracy: 0.9634 - val_loss: 0.5451 - val_categorical_accuracy: 0.8799 - 2s/epoch - 7ms/step
Epoch 619/1500
313/313 - 2s - loss: 0.1060 - categorical_accuracy: 0.9629 - val_loss: 0.4239 - val_categorical_accuracy: 0.8908 - 2s/epoch - 7ms/step
Epoch 620/1500
313/313 - 2s - loss: 0.1036 - categorical_accuracy: 0.9636 - val_loss: 0.6419 - val_categorical_accuracy: 0.8422 - 2s/epoch - 7ms/step
Epoch 621/1500
313/313 - 2s - loss: 0.1056 - categorical_accuracy: 0.9631 - val_loss: 0.3701 - val_categorical_accuracy: 0.9176 - 2s/epoch - 7ms/step
Epoch 622/1500
313/313 - 2s - loss: 0.1041 - categorical_accuracy: 0.9636 - val_loss: 0.3413 - val_categorical_accuracy: 0.9155 - 2s/epoch - 8ms/step
Epoch 623/1500
313/313 - 2s - loss: 0.1015 - categorical_accuracy: 0.9642 - val_loss: 1.0425 - val_categorical_accuracy: 0.8099 - 2s/epoch - 7ms/step
Epoch 624/1500
313/313 - 2s - loss: 0.1123 - categorical_accuracy: 0.9618 - val_loss: 0.6779 - val_categorical_accuracy: 0.8622 - 2s/epoch - 7ms/step
Epoch 625/1500
313/313 - 2s - loss: 0.1078 - categorical_accuracy: 0.9620 - val_loss: 1.1275 - val_categorical_accuracy: 0.7883 - 2s/epoch - 7ms/step
Epoch 626/1500
313/313 - 2s - loss: 0.1089 - categorical_accuracy: 0.9626 - val_loss: 0.3917 - val_categorical_accuracy: 0.9084 - 2s/epoch - 8ms/step
Epoch 627/1500
313/313 - 2s - loss: 0.1020 - categorical_accuracy: 0.9643 - val_loss: 0.3120 - val_categorical_accuracy: 0.9266 - 2s/epoch - 7ms/step
Epoch 628/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9647 - val_loss: 1.2747 - val_categorical_accuracy: 0.7916 - 2s/epoch - 8ms/step
Epoch 629/1500
313/313 - 2s - loss: 0.1203 - categorical_accuracy: 0.9596 - val_loss: 0.8693 - val_categorical_accuracy: 0.8356 - 2s/epoch - 7ms/step
Epoch 630/1500
313/313 - 2s - loss: 0.1017 - categorical_accuracy: 0.9645 - val_loss: 0.4298 - val_categorical_accuracy: 0.9056 - 2s/epoch - 7ms/step
Epoch 631/1500
313/313 - 2s - loss: 0.1004 - categorical_accuracy: 0.9649 - val_loss: 0.4619 - val_categorical_accuracy: 0.8855 - 2s/epoch - 7ms/step
Epoch 632/1500
313/313 - 2s - loss: 0.1028 - categorical_accuracy: 0.9646 - val_loss: 0.4059 - val_categorical_accuracy: 0.9048 - 2s/epoch - 7ms/step
Epoch 633/1500
313/313 - 2s - loss: 0.1015 - categorical_accuracy: 0.9646 - val_loss: 0.3698 - val_categorical_accuracy: 0.9165 - 2s/epoch - 7ms/step
Epoch 634/1500
313/313 - 2s - loss: 0.0985 - categorical_accuracy: 0.9654 - val_loss: 0.4247 - val_categorical_accuracy: 0.9061 - 2s/epoch - 7ms/step
Epoch 635/1500
313/313 - 2s - loss: 0.1020 - categorical_accuracy: 0.9646 - val_loss: 0.8300 - val_categorical_accuracy: 0.8469 - 2s/epoch - 7ms/step
Epoch 636/1500
313/313 - 2s - loss: 0.1084 - categorical_accuracy: 0.9630 - val_loss: 2.0580 - val_categorical_accuracy: 0.6747 - 2s/epoch - 7ms/step
Epoch 637/1500
313/313 - 2s - loss: 0.1356 - categorical_accuracy: 0.9565 - val_loss: 0.3936 - val_categorical_accuracy: 0.9152 - 2s/epoch - 7ms/step
Epoch 638/1500
313/313 - 2s - loss: 0.0993 - categorical_accuracy: 0.9652 - val_loss: 0.4452 - val_categorical_accuracy: 0.8966 - 2s/epoch - 7ms/step
Epoch 639/1500
313/313 - 2s - loss: 0.1026 - categorical_accuracy: 0.9641 - val_loss: 0.3111 - val_categorical_accuracy: 0.9295 - 2s/epoch - 7ms/step
Epoch 640/1500
313/313 - 2s - loss: 0.0989 - categorical_accuracy: 0.9651 - val_loss: 0.3950 - val_categorical_accuracy: 0.9101 - 2s/epoch - 7ms/step
Epoch 641/1500
313/313 - 2s - loss: 0.0996 - categorical_accuracy: 0.9653 - val_loss: 0.3425 - val_categorical_accuracy: 0.9224 - 2s/epoch - 8ms/step
Epoch 642/1500
313/313 - 2s - loss: 0.0981 - categorical_accuracy: 0.9658 - val_loss: 0.7687 - val_categorical_accuracy: 0.8410 - 2s/epoch - 7ms/step
Epoch 643/1500
313/313 - 2s - loss: 0.1060 - categorical_accuracy: 0.9634 - val_loss: 0.3138 - val_categorical_accuracy: 0.9284 - 2s/epoch - 7ms/step
Epoch 644/1500
313/313 - 2s - loss: 0.0964 - categorical_accuracy: 0.9663 - val_loss: 0.5142 - val_categorical_accuracy: 0.8865 - 2s/epoch - 7ms/step
Epoch 645/1500
313/313 - 2s - loss: 0.1028 - categorical_accuracy: 0.9640 - val_loss: 0.3567 - val_categorical_accuracy: 0.9214 - 2s/epoch - 7ms/step
Epoch 646/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9661 - val_loss: 0.6529 - val_categorical_accuracy: 0.8637 - 2s/epoch - 7ms/step
Epoch 647/1500
313/313 - 2s - loss: 0.1032 - categorical_accuracy: 0.9645 - val_loss: 0.3191 - val_categorical_accuracy: 0.9206 - 2s/epoch - 7ms/step
Epoch 648/1500
313/313 - 2s - loss: 0.0989 - categorical_accuracy: 0.9658 - val_loss: 0.7117 - val_categorical_accuracy: 0.8469 - 2s/epoch - 7ms/step
Epoch 649/1500
313/313 - 2s - loss: 0.1067 - categorical_accuracy: 0.9626 - val_loss: 0.3076 - val_categorical_accuracy: 0.9279 - 2s/epoch - 7ms/step
Epoch 650/1500
313/313 - 2s - loss: 0.0976 - categorical_accuracy: 0.9658 - val_loss: 0.3043 - val_categorical_accuracy: 0.9292 - 2s/epoch - 7ms/step
Epoch 651/1500
313/313 - 2s - loss: 0.0956 - categorical_accuracy: 0.9667 - val_loss: 0.3385 - val_categorical_accuracy: 0.9246 - 2s/epoch - 7ms/step
Epoch 652/1500
313/313 - 2s - loss: 0.0983 - categorical_accuracy: 0.9658 - val_loss: 0.5831 - val_categorical_accuracy: 0.8800 - 2s/epoch - 8ms/step
Epoch 653/1500
313/313 - 2s - loss: 0.1001 - categorical_accuracy: 0.9650 - val_loss: 0.3670 - val_categorical_accuracy: 0.9118 - 2s/epoch - 7ms/step
Epoch 654/1500
313/313 - 2s - loss: 0.1040 - categorical_accuracy: 0.9638 - val_loss: 0.4643 - val_categorical_accuracy: 0.8954 - 2s/epoch - 7ms/step
Epoch 655/1500
313/313 - 2s - loss: 0.1034 - categorical_accuracy: 0.9640 - val_loss: 0.9620 - val_categorical_accuracy: 0.8031 - 2s/epoch - 7ms/step
Epoch 656/1500
313/313 - 2s - loss: 0.1059 - categorical_accuracy: 0.9633 - val_loss: 0.3244 - val_categorical_accuracy: 0.9273 - 2s/epoch - 7ms/step
Epoch 657/1500
313/313 - 2s - loss: 0.0971 - categorical_accuracy: 0.9661 - val_loss: 0.7493 - val_categorical_accuracy: 0.8284 - 2s/epoch - 7ms/step
Epoch 658/1500
313/313 - 2s - loss: 0.1062 - categorical_accuracy: 0.9637 - val_loss: 0.4392 - val_categorical_accuracy: 0.9037 - 2s/epoch - 7ms/step
Epoch 659/1500
313/313 - 2s - loss: 0.1004 - categorical_accuracy: 0.9647 - val_loss: 0.7562 - val_categorical_accuracy: 0.8376 - 2s/epoch - 7ms/step
Epoch 660/1500
313/313 - 2s - loss: 0.1057 - categorical_accuracy: 0.9632 - val_loss: 0.3342 - val_categorical_accuracy: 0.9232 - 2s/epoch - 7ms/step
Epoch 661/1500
313/313 - 2s - loss: 0.0971 - categorical_accuracy: 0.9660 - val_loss: 1.4397 - val_categorical_accuracy: 0.7959 - 2s/epoch - 7ms/step
Epoch 662/1500
313/313 - 2s - loss: 0.1128 - categorical_accuracy: 0.9626 - val_loss: 0.7650 - val_categorical_accuracy: 0.8498 - 2s/epoch - 8ms/step
Epoch 663/1500
313/313 - 3s - loss: 0.1025 - categorical_accuracy: 0.9648 - val_loss: 0.5083 - val_categorical_accuracy: 0.8809 - 3s/epoch - 8ms/step
Epoch 664/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9643 - val_loss: 0.4985 - val_categorical_accuracy: 0.8930 - 2s/epoch - 8ms/step
Epoch 665/1500
313/313 - 2s - loss: 0.0991 - categorical_accuracy: 0.9656 - val_loss: 0.8762 - val_categorical_accuracy: 0.8182 - 2s/epoch - 8ms/step
Epoch 666/1500
313/313 - 2s - loss: 0.1067 - categorical_accuracy: 0.9632 - val_loss: 0.3857 - val_categorical_accuracy: 0.9163 - 2s/epoch - 8ms/step
Epoch 667/1500
313/313 - 2s - loss: 0.0981 - categorical_accuracy: 0.9657 - val_loss: 0.3070 - val_categorical_accuracy: 0.9288 - 2s/epoch - 8ms/step
Epoch 668/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9666 - val_loss: 0.5769 - val_categorical_accuracy: 0.8830 - 2s/epoch - 7ms/step
Epoch 669/1500
313/313 - 2s - loss: 0.1015 - categorical_accuracy: 0.9648 - val_loss: 0.3985 - val_categorical_accuracy: 0.9109 - 2s/epoch - 8ms/step
Epoch 670/1500
313/313 - 2s - loss: 0.0988 - categorical_accuracy: 0.9653 - val_loss: 0.3454 - val_categorical_accuracy: 0.9166 - 2s/epoch - 8ms/step
Epoch 671/1500
313/313 - 2s - loss: 0.0985 - categorical_accuracy: 0.9655 - val_loss: 0.3751 - val_categorical_accuracy: 0.9112 - 2s/epoch - 8ms/step
Epoch 672/1500
313/313 - 2s - loss: 0.1007 - categorical_accuracy: 0.9648 - val_loss: 0.3402 - val_categorical_accuracy: 0.9209 - 2s/epoch - 8ms/step
Epoch 673/1500
313/313 - 2s - loss: 0.0978 - categorical_accuracy: 0.9658 - val_loss: 1.3291 - val_categorical_accuracy: 0.7650 - 2s/epoch - 8ms/step
Epoch 674/1500
313/313 - 2s - loss: 0.1305 - categorical_accuracy: 0.9582 - val_loss: 0.7630 - val_categorical_accuracy: 0.8449 - 2s/epoch - 8ms/step
Epoch 675/1500
313/313 - 2s - loss: 0.1080 - categorical_accuracy: 0.9622 - val_loss: 0.4813 - val_categorical_accuracy: 0.8824 - 2s/epoch - 8ms/step
Epoch 676/1500
313/313 - 2s - loss: 0.0958 - categorical_accuracy: 0.9664 - val_loss: 0.4109 - val_categorical_accuracy: 0.9031 - 2s/epoch - 8ms/step
Epoch 677/1500
313/313 - 2s - loss: 0.0955 - categorical_accuracy: 0.9666 - val_loss: 0.6124 - val_categorical_accuracy: 0.8796 - 2s/epoch - 8ms/step
Epoch 678/1500
313/313 - 2s - loss: 0.1041 - categorical_accuracy: 0.9634 - val_loss: 0.3443 - val_categorical_accuracy: 0.9178 - 2s/epoch - 8ms/step
Epoch 679/1500
313/313 - 2s - loss: 0.1015 - categorical_accuracy: 0.9644 - val_loss: 0.9394 - val_categorical_accuracy: 0.8226 - 2s/epoch - 8ms/step
Epoch 680/1500
313/313 - 2s - loss: 0.1077 - categorical_accuracy: 0.9633 - val_loss: 0.6925 - val_categorical_accuracy: 0.8489 - 2s/epoch - 8ms/step
Epoch 681/1500
313/313 - 2s - loss: 0.1013 - categorical_accuracy: 0.9651 - val_loss: 0.9867 - val_categorical_accuracy: 0.8022 - 2s/epoch - 8ms/step
Epoch 682/1500
313/313 - 2s - loss: 0.1090 - categorical_accuracy: 0.9622 - val_loss: 0.7294 - val_categorical_accuracy: 0.8575 - 2s/epoch - 8ms/step
Epoch 683/1500
313/313 - 2s - loss: 0.1004 - categorical_accuracy: 0.9653 - val_loss: 0.6003 - val_categorical_accuracy: 0.8599 - 2s/epoch - 8ms/step
Epoch 684/1500
313/313 - 2s - loss: 0.0994 - categorical_accuracy: 0.9649 - val_loss: 0.6312 - val_categorical_accuracy: 0.8713 - 2s/epoch - 8ms/step
Epoch 685/1500
313/313 - 2s - loss: 0.0993 - categorical_accuracy: 0.9657 - val_loss: 0.3158 - val_categorical_accuracy: 0.9297 - 2s/epoch - 8ms/step
Epoch 686/1500
313/313 - 2s - loss: 0.0958 - categorical_accuracy: 0.9662 - val_loss: 0.6776 - val_categorical_accuracy: 0.8763 - 2s/epoch - 8ms/step
Epoch 687/1500
313/313 - 2s - loss: 0.1023 - categorical_accuracy: 0.9643 - val_loss: 2.2962 - val_categorical_accuracy: 0.6525 - 2s/epoch - 8ms/step
Epoch 688/1500
313/313 - 2s - loss: 0.2297 - categorical_accuracy: 0.9382 - val_loss: 0.3831 - val_categorical_accuracy: 0.9019 - 2s/epoch - 8ms/step
Epoch 689/1500
313/313 - 2s - loss: 0.0976 - categorical_accuracy: 0.9658 - val_loss: 0.3542 - val_categorical_accuracy: 0.9148 - 2s/epoch - 7ms/step
Epoch 690/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9675 - val_loss: 0.3320 - val_categorical_accuracy: 0.9239 - 2s/epoch - 8ms/step
Epoch 691/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9669 - val_loss: 0.5619 - val_categorical_accuracy: 0.8713 - 2s/epoch - 8ms/step
Epoch 692/1500
313/313 - 2s - loss: 0.0980 - categorical_accuracy: 0.9659 - val_loss: 0.3321 - val_categorical_accuracy: 0.9201 - 2s/epoch - 8ms/step
Epoch 693/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9665 - val_loss: 1.3125 - val_categorical_accuracy: 0.7732 - 2s/epoch - 7ms/step
Epoch 694/1500
313/313 - 2s - loss: 0.1162 - categorical_accuracy: 0.9605 - val_loss: 0.3400 - val_categorical_accuracy: 0.9247 - 2s/epoch - 8ms/step
Epoch 695/1500
313/313 - 2s - loss: 0.0957 - categorical_accuracy: 0.9664 - val_loss: 0.7143 - val_categorical_accuracy: 0.8486 - 2s/epoch - 7ms/step
Epoch 696/1500
313/313 - 2s - loss: 0.1013 - categorical_accuracy: 0.9648 - val_loss: 0.5412 - val_categorical_accuracy: 0.8721 - 2s/epoch - 8ms/step
Epoch 697/1500
313/313 - 2s - loss: 0.1017 - categorical_accuracy: 0.9643 - val_loss: 0.5421 - val_categorical_accuracy: 0.8820 - 2s/epoch - 7ms/step
Epoch 698/1500
313/313 - 2s - loss: 0.0964 - categorical_accuracy: 0.9661 - val_loss: 1.0254 - val_categorical_accuracy: 0.8205 - 2s/epoch - 7ms/step
Epoch 699/1500
313/313 - 2s - loss: 0.1095 - categorical_accuracy: 0.9628 - val_loss: 0.6223 - val_categorical_accuracy: 0.8727 - 2s/epoch - 8ms/step
Epoch 700/1500
313/313 - 2s - loss: 0.1024 - categorical_accuracy: 0.9646 - val_loss: 1.2535 - val_categorical_accuracy: 0.7499 - 2s/epoch - 8ms/step
Epoch 701/1500
313/313 - 2s - loss: 0.1104 - categorical_accuracy: 0.9621 - val_loss: 0.3558 - val_categorical_accuracy: 0.9138 - 2s/epoch - 8ms/step
Epoch 702/1500
313/313 - 2s - loss: 0.0965 - categorical_accuracy: 0.9662 - val_loss: 1.0457 - val_categorical_accuracy: 0.7909 - 2s/epoch - 8ms/step
Epoch 703/1500
313/313 - 2s - loss: 0.1198 - categorical_accuracy: 0.9609 - val_loss: 0.4065 - val_categorical_accuracy: 0.9012 - 2s/epoch - 8ms/step
Epoch 704/1500
313/313 - 2s - loss: 0.0967 - categorical_accuracy: 0.9659 - val_loss: 0.3122 - val_categorical_accuracy: 0.9299 - 2s/epoch - 8ms/step
Epoch 705/1500
313/313 - 2s - loss: 0.0924 - categorical_accuracy: 0.9675 - val_loss: 0.8198 - val_categorical_accuracy: 0.8312 - 2s/epoch - 8ms/step
Epoch 706/1500
313/313 - 2s - loss: 0.1008 - categorical_accuracy: 0.9654 - val_loss: 0.6122 - val_categorical_accuracy: 0.8745 - 2s/epoch - 8ms/step
Epoch 707/1500
313/313 - 2s - loss: 0.0983 - categorical_accuracy: 0.9656 - val_loss: 0.3309 - val_categorical_accuracy: 0.9273 - 2s/epoch - 7ms/step
Epoch 708/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9660 - val_loss: 0.3547 - val_categorical_accuracy: 0.9194 - 2s/epoch - 7ms/step
Epoch 709/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9666 - val_loss: 0.7126 - val_categorical_accuracy: 0.8532 - 2s/epoch - 8ms/step
Epoch 710/1500
313/313 - 2s - loss: 0.1010 - categorical_accuracy: 0.9648 - val_loss: 0.3373 - val_categorical_accuracy: 0.9229 - 2s/epoch - 8ms/step
Epoch 711/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9673 - val_loss: 0.3339 - val_categorical_accuracy: 0.9230 - 2s/epoch - 7ms/step
Epoch 712/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9667 - val_loss: 0.3607 - val_categorical_accuracy: 0.9241 - 2s/epoch - 8ms/step
Epoch 713/1500
313/313 - 2s - loss: 0.0959 - categorical_accuracy: 0.9669 - val_loss: 0.3318 - val_categorical_accuracy: 0.9277 - 2s/epoch - 8ms/step
Epoch 714/1500
313/313 - 2s - loss: 0.0959 - categorical_accuracy: 0.9664 - val_loss: 0.3912 - val_categorical_accuracy: 0.9116 - 2s/epoch - 7ms/step
Epoch 715/1500
313/313 - 2s - loss: 0.0967 - categorical_accuracy: 0.9665 - val_loss: 0.5322 - val_categorical_accuracy: 0.8782 - 2s/epoch - 8ms/step
Epoch 716/1500
313/313 - 2s - loss: 0.0977 - categorical_accuracy: 0.9660 - val_loss: 0.3612 - val_categorical_accuracy: 0.9218 - 2s/epoch - 8ms/step
Epoch 717/1500
313/313 - 2s - loss: 0.0958 - categorical_accuracy: 0.9667 - val_loss: 0.3513 - val_categorical_accuracy: 0.9185 - 2s/epoch - 8ms/step
Epoch 718/1500
313/313 - 2s - loss: 0.0957 - categorical_accuracy: 0.9666 - val_loss: 0.3536 - val_categorical_accuracy: 0.9223 - 2s/epoch - 8ms/step
Epoch 719/1500
313/313 - 2s - loss: 0.0992 - categorical_accuracy: 0.9659 - val_loss: 0.4405 - val_categorical_accuracy: 0.9032 - 2s/epoch - 7ms/step
Epoch 720/1500
313/313 - 2s - loss: 0.1017 - categorical_accuracy: 0.9650 - val_loss: 0.3152 - val_categorical_accuracy: 0.9299 - 2s/epoch - 8ms/step
Epoch 721/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9670 - val_loss: 0.5175 - val_categorical_accuracy: 0.8776 - 2s/epoch - 8ms/step
Epoch 722/1500
313/313 - 2s - loss: 0.0968 - categorical_accuracy: 0.9660 - val_loss: 0.4371 - val_categorical_accuracy: 0.9020 - 2s/epoch - 8ms/step
Epoch 723/1500
313/313 - 2s - loss: 0.0997 - categorical_accuracy: 0.9653 - val_loss: 1.3522 - val_categorical_accuracy: 0.8017 - 2s/epoch - 8ms/step
Epoch 724/1500
313/313 - 2s - loss: 0.1120 - categorical_accuracy: 0.9621 - val_loss: 0.7102 - val_categorical_accuracy: 0.8481 - 2s/epoch - 8ms/step
Epoch 725/1500
313/313 - 2s - loss: 0.0998 - categorical_accuracy: 0.9653 - val_loss: 0.3331 - val_categorical_accuracy: 0.9255 - 2s/epoch - 7ms/step
Epoch 726/1500
313/313 - 2s - loss: 0.0980 - categorical_accuracy: 0.9660 - val_loss: 0.6653 - val_categorical_accuracy: 0.8523 - 2s/epoch - 8ms/step
Epoch 727/1500
313/313 - 2s - loss: 0.1053 - categorical_accuracy: 0.9627 - val_loss: 0.3618 - val_categorical_accuracy: 0.9195 - 2s/epoch - 7ms/step
Epoch 728/1500
313/313 - 2s - loss: 0.0960 - categorical_accuracy: 0.9662 - val_loss: 0.5736 - val_categorical_accuracy: 0.8725 - 2s/epoch - 8ms/step
Epoch 729/1500
313/313 - 2s - loss: 0.0988 - categorical_accuracy: 0.9657 - val_loss: 0.3165 - val_categorical_accuracy: 0.9299 - 2s/epoch - 8ms/step
Epoch 730/1500
313/313 - 2s - loss: 0.0920 - categorical_accuracy: 0.9677 - val_loss: 0.3212 - val_categorical_accuracy: 0.9265 - 2s/epoch - 8ms/step
Epoch 731/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9668 - val_loss: 1.3438 - val_categorical_accuracy: 0.7974 - 2s/epoch - 7ms/step
Epoch 732/1500
313/313 - 2s - loss: 0.1138 - categorical_accuracy: 0.9618 - val_loss: 0.4280 - val_categorical_accuracy: 0.9039 - 2s/epoch - 7ms/step
Epoch 733/1500
313/313 - 2s - loss: 0.0957 - categorical_accuracy: 0.9662 - val_loss: 1.0672 - val_categorical_accuracy: 0.8162 - 2s/epoch - 8ms/step
Epoch 734/1500
313/313 - 2s - loss: 0.1122 - categorical_accuracy: 0.9619 - val_loss: 0.4359 - val_categorical_accuracy: 0.9015 - 2s/epoch - 8ms/step
Epoch 735/1500
313/313 - 2s - loss: 0.0956 - categorical_accuracy: 0.9662 - val_loss: 0.4455 - val_categorical_accuracy: 0.8991 - 2s/epoch - 8ms/step
Epoch 736/1500
313/313 - 2s - loss: 0.0963 - categorical_accuracy: 0.9660 - val_loss: 0.5168 - val_categorical_accuracy: 0.8777 - 2s/epoch - 8ms/step
Epoch 737/1500
313/313 - 2s - loss: 0.0986 - categorical_accuracy: 0.9654 - val_loss: 1.1911 - val_categorical_accuracy: 0.7976 - 2s/epoch - 8ms/step
Epoch 738/1500
313/313 - 2s - loss: 0.1113 - categorical_accuracy: 0.9630 - val_loss: 0.3558 - val_categorical_accuracy: 0.9263 - 2s/epoch - 8ms/step
Epoch 739/1500
313/313 - 2s - loss: 0.0912 - categorical_accuracy: 0.9682 - val_loss: 0.5510 - val_categorical_accuracy: 0.8880 - 2s/epoch - 7ms/step
Epoch 740/1500
313/313 - 2s - loss: 0.1008 - categorical_accuracy: 0.9645 - val_loss: 0.5205 - val_categorical_accuracy: 0.8769 - 2s/epoch - 8ms/step
Epoch 741/1500
313/313 - 2s - loss: 0.0996 - categorical_accuracy: 0.9647 - val_loss: 0.5026 - val_categorical_accuracy: 0.8916 - 2s/epoch - 8ms/step
Epoch 742/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9673 - val_loss: 0.3418 - val_categorical_accuracy: 0.9263 - 2s/epoch - 7ms/step
Epoch 743/1500
313/313 - 2s - loss: 0.0905 - categorical_accuracy: 0.9684 - val_loss: 0.8964 - val_categorical_accuracy: 0.8341 - 2s/epoch - 8ms/step
Epoch 744/1500
313/313 - 2s - loss: 0.1060 - categorical_accuracy: 0.9636 - val_loss: 1.8781 - val_categorical_accuracy: 0.7230 - 2s/epoch - 7ms/step
Epoch 745/1500
313/313 - 2s - loss: 0.1281 - categorical_accuracy: 0.9578 - val_loss: 0.8108 - val_categorical_accuracy: 0.8283 - 2s/epoch - 7ms/step
Epoch 746/1500
313/313 - 2s - loss: 0.1030 - categorical_accuracy: 0.9642 - val_loss: 0.5995 - val_categorical_accuracy: 0.8702 - 2s/epoch - 8ms/step
Epoch 747/1500
313/313 - 2s - loss: 0.1006 - categorical_accuracy: 0.9649 - val_loss: 0.6478 - val_categorical_accuracy: 0.8655 - 2s/epoch - 7ms/step
Epoch 748/1500
313/313 - 2s - loss: 0.0969 - categorical_accuracy: 0.9664 - val_loss: 0.5260 - val_categorical_accuracy: 0.8775 - 2s/epoch - 8ms/step
Epoch 749/1500
313/313 - 2s - loss: 0.0946 - categorical_accuracy: 0.9669 - val_loss: 1.3420 - val_categorical_accuracy: 0.8021 - 2s/epoch - 8ms/step
Epoch 750/1500
313/313 - 2s - loss: 0.1094 - categorical_accuracy: 0.9628 - val_loss: 0.3244 - val_categorical_accuracy: 0.9293 - 2s/epoch - 7ms/step
Epoch 751/1500
313/313 - 2s - loss: 0.0929 - categorical_accuracy: 0.9677 - val_loss: 1.9845 - val_categorical_accuracy: 0.7087 - 2s/epoch - 8ms/step
Epoch 752/1500
313/313 - 2s - loss: 0.1273 - categorical_accuracy: 0.9600 - val_loss: 0.6897 - val_categorical_accuracy: 0.8609 - 2s/epoch - 7ms/step
Epoch 753/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9651 - val_loss: 0.5659 - val_categorical_accuracy: 0.8892 - 2s/epoch - 7ms/step
Epoch 754/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9668 - val_loss: 0.3379 - val_categorical_accuracy: 0.9220 - 2s/epoch - 8ms/step
Epoch 755/1500
313/313 - 2s - loss: 0.0897 - categorical_accuracy: 0.9684 - val_loss: 1.0528 - val_categorical_accuracy: 0.8405 - 2s/epoch - 7ms/step
Epoch 756/1500
313/313 - 2s - loss: 0.1088 - categorical_accuracy: 0.9634 - val_loss: 0.4317 - val_categorical_accuracy: 0.9045 - 2s/epoch - 7ms/step
Epoch 757/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9664 - val_loss: 0.8912 - val_categorical_accuracy: 0.8432 - 2s/epoch - 8ms/step
Epoch 758/1500
313/313 - 2s - loss: 0.1074 - categorical_accuracy: 0.9630 - val_loss: 0.3376 - val_categorical_accuracy: 0.9228 - 2s/epoch - 8ms/step
Epoch 759/1500
313/313 - 2s - loss: 0.0926 - categorical_accuracy: 0.9672 - val_loss: 0.3488 - val_categorical_accuracy: 0.9265 - 2s/epoch - 7ms/step
Epoch 760/1500
313/313 - 2s - loss: 0.0905 - categorical_accuracy: 0.9682 - val_loss: 0.3603 - val_categorical_accuracy: 0.9199 - 2s/epoch - 7ms/step
Epoch 761/1500
313/313 - 2s - loss: 0.0934 - categorical_accuracy: 0.9672 - val_loss: 0.4771 - val_categorical_accuracy: 0.8921 - 2s/epoch - 7ms/step
Epoch 762/1500
313/313 - 2s - loss: 0.0954 - categorical_accuracy: 0.9666 - val_loss: 0.4435 - val_categorical_accuracy: 0.8947 - 2s/epoch - 7ms/step
Epoch 763/1500
313/313 - 2s - loss: 0.0928 - categorical_accuracy: 0.9674 - val_loss: 0.8439 - val_categorical_accuracy: 0.8226 - 2s/epoch - 8ms/step
Epoch 764/1500
313/313 - 2s - loss: 0.1033 - categorical_accuracy: 0.9646 - val_loss: 2.3236 - val_categorical_accuracy: 0.7074 - 2s/epoch - 7ms/step
Epoch 765/1500
313/313 - 2s - loss: 0.1398 - categorical_accuracy: 0.9573 - val_loss: 0.4144 - val_categorical_accuracy: 0.8994 - 2s/epoch - 7ms/step
Epoch 766/1500
313/313 - 2s - loss: 0.0927 - categorical_accuracy: 0.9672 - val_loss: 0.3501 - val_categorical_accuracy: 0.9268 - 2s/epoch - 7ms/step
Epoch 767/1500
313/313 - 2s - loss: 0.0922 - categorical_accuracy: 0.9674 - val_loss: 0.4608 - val_categorical_accuracy: 0.8968 - 2s/epoch - 7ms/step
Epoch 768/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9675 - val_loss: 0.3456 - val_categorical_accuracy: 0.9256 - 2s/epoch - 7ms/step
Epoch 769/1500
313/313 - 2s - loss: 0.0908 - categorical_accuracy: 0.9682 - val_loss: 0.4569 - val_categorical_accuracy: 0.8898 - 2s/epoch - 8ms/step
Epoch 770/1500
313/313 - 2s - loss: 0.0944 - categorical_accuracy: 0.9669 - val_loss: 0.3470 - val_categorical_accuracy: 0.9248 - 2s/epoch - 7ms/step
Epoch 771/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9671 - val_loss: 0.4692 - val_categorical_accuracy: 0.9020 - 2s/epoch - 7ms/step
Epoch 772/1500
313/313 - 2s - loss: 0.0960 - categorical_accuracy: 0.9666 - val_loss: 0.3982 - val_categorical_accuracy: 0.9160 - 2s/epoch - 7ms/step
Epoch 773/1500
313/313 - 2s - loss: 0.0955 - categorical_accuracy: 0.9663 - val_loss: 0.6260 - val_categorical_accuracy: 0.8659 - 2s/epoch - 7ms/step
Epoch 774/1500
313/313 - 2s - loss: 0.0996 - categorical_accuracy: 0.9651 - val_loss: 0.5511 - val_categorical_accuracy: 0.8879 - 2s/epoch - 7ms/step
Epoch 775/1500
313/313 - 2s - loss: 0.0975 - categorical_accuracy: 0.9660 - val_loss: 0.4917 - val_categorical_accuracy: 0.9038 - 2s/epoch - 8ms/step
Epoch 776/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9656 - val_loss: 0.4156 - val_categorical_accuracy: 0.9112 - 2s/epoch - 7ms/step
Epoch 777/1500
313/313 - 2s - loss: 0.0958 - categorical_accuracy: 0.9665 - val_loss: 1.0323 - val_categorical_accuracy: 0.8011 - 2s/epoch - 7ms/step
Epoch 778/1500
313/313 - 2s - loss: 0.1116 - categorical_accuracy: 0.9613 - val_loss: 0.3240 - val_categorical_accuracy: 0.9273 - 2s/epoch - 7ms/step
Epoch 779/1500
313/313 - 2s - loss: 0.0917 - categorical_accuracy: 0.9677 - val_loss: 0.5800 - val_categorical_accuracy: 0.8694 - 2s/epoch - 7ms/step
Epoch 780/1500
313/313 - 2s - loss: 0.0964 - categorical_accuracy: 0.9663 - val_loss: 0.3369 - val_categorical_accuracy: 0.9220 - 2s/epoch - 8ms/step
Epoch 781/1500
313/313 - 2s - loss: 0.0913 - categorical_accuracy: 0.9676 - val_loss: 0.3272 - val_categorical_accuracy: 0.9305 - 2s/epoch - 7ms/step
Epoch 782/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9679 - val_loss: 0.7413 - val_categorical_accuracy: 0.8589 - 2s/epoch - 7ms/step
Epoch 783/1500
313/313 - 2s - loss: 0.1001 - categorical_accuracy: 0.9652 - val_loss: 0.9166 - val_categorical_accuracy: 0.8243 - 2s/epoch - 7ms/step
Epoch 784/1500
313/313 - 2s - loss: 0.1007 - categorical_accuracy: 0.9649 - val_loss: 0.9179 - val_categorical_accuracy: 0.8423 - 2s/epoch - 7ms/step
Epoch 785/1500
313/313 - 2s - loss: 0.1038 - categorical_accuracy: 0.9640 - val_loss: 0.3438 - val_categorical_accuracy: 0.9261 - 2s/epoch - 7ms/step
Epoch 786/1500
313/313 - 2s - loss: 0.0920 - categorical_accuracy: 0.9682 - val_loss: 0.4054 - val_categorical_accuracy: 0.9083 - 2s/epoch - 7ms/step
Epoch 787/1500
313/313 - 2s - loss: 0.0944 - categorical_accuracy: 0.9675 - val_loss: 0.4007 - val_categorical_accuracy: 0.9152 - 2s/epoch - 7ms/step
Epoch 788/1500
313/313 - 2s - loss: 0.0977 - categorical_accuracy: 0.9658 - val_loss: 0.5194 - val_categorical_accuracy: 0.8994 - 2s/epoch - 7ms/step
Epoch 789/1500
313/313 - 2s - loss: 0.0956 - categorical_accuracy: 0.9666 - val_loss: 0.3543 - val_categorical_accuracy: 0.9196 - 2s/epoch - 7ms/step
Epoch 790/1500
313/313 - 2s - loss: 0.0943 - categorical_accuracy: 0.9669 - val_loss: 0.4748 - val_categorical_accuracy: 0.9041 - 2s/epoch - 7ms/step
Epoch 791/1500
313/313 - 2s - loss: 0.1009 - categorical_accuracy: 0.9648 - val_loss: 0.6966 - val_categorical_accuracy: 0.8396 - 2s/epoch - 7ms/step
Epoch 792/1500
313/313 - 2s - loss: 0.1010 - categorical_accuracy: 0.9651 - val_loss: 0.5848 - val_categorical_accuracy: 0.8854 - 2s/epoch - 8ms/step
Epoch 793/1500
313/313 - 2s - loss: 0.0960 - categorical_accuracy: 0.9666 - val_loss: 0.6985 - val_categorical_accuracy: 0.8501 - 2s/epoch - 7ms/step
Epoch 794/1500
313/313 - 2s - loss: 0.0990 - categorical_accuracy: 0.9657 - val_loss: 0.5661 - val_categorical_accuracy: 0.8734 - 2s/epoch - 7ms/step
Epoch 795/1500
313/313 - 2s - loss: 0.0954 - categorical_accuracy: 0.9664 - val_loss: 0.4480 - val_categorical_accuracy: 0.9018 - 2s/epoch - 7ms/step
Epoch 796/1500
313/313 - 2s - loss: 0.0959 - categorical_accuracy: 0.9661 - val_loss: 0.5649 - val_categorical_accuracy: 0.8754 - 2s/epoch - 7ms/step
Epoch 797/1500
313/313 - 2s - loss: 0.1002 - categorical_accuracy: 0.9655 - val_loss: 0.3293 - val_categorical_accuracy: 0.9282 - 2s/epoch - 7ms/step
Epoch 798/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9667 - val_loss: 0.3881 - val_categorical_accuracy: 0.9070 - 2s/epoch - 7ms/step
Epoch 799/1500
313/313 - 2s - loss: 0.0924 - categorical_accuracy: 0.9678 - val_loss: 0.6086 - val_categorical_accuracy: 0.8652 - 2s/epoch - 7ms/step
Epoch 800/1500
313/313 - 2s - loss: 0.0974 - categorical_accuracy: 0.9661 - val_loss: 0.6557 - val_categorical_accuracy: 0.8652 - 2s/epoch - 7ms/step
Epoch 801/1500
313/313 - 2s - loss: 0.1028 - categorical_accuracy: 0.9642 - val_loss: 0.4259 - val_categorical_accuracy: 0.9117 - 2s/epoch - 7ms/step
Epoch 802/1500
313/313 - 2s - loss: 0.0934 - categorical_accuracy: 0.9671 - val_loss: 1.1772 - val_categorical_accuracy: 0.8199 - 2s/epoch - 7ms/step
Epoch 803/1500
313/313 - 2s - loss: 0.1137 - categorical_accuracy: 0.9622 - val_loss: 0.5185 - val_categorical_accuracy: 0.8702 - 2s/epoch - 7ms/step
Epoch 804/1500
313/313 - 2s - loss: 0.0952 - categorical_accuracy: 0.9668 - val_loss: 0.9196 - val_categorical_accuracy: 0.8146 - 2s/epoch - 7ms/step
Epoch 805/1500
313/313 - 2s - loss: 0.1081 - categorical_accuracy: 0.9642 - val_loss: 0.4104 - val_categorical_accuracy: 0.9141 - 2s/epoch - 8ms/step
Epoch 806/1500
313/313 - 2s - loss: 0.0908 - categorical_accuracy: 0.9683 - val_loss: 0.3465 - val_categorical_accuracy: 0.9271 - 2s/epoch - 8ms/step
Epoch 807/1500
313/313 - 2s - loss: 0.0891 - categorical_accuracy: 0.9686 - val_loss: 0.3287 - val_categorical_accuracy: 0.9316 - 2s/epoch - 7ms/step
Epoch 808/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9680 - val_loss: 0.9285 - val_categorical_accuracy: 0.7930 - 2s/epoch - 7ms/step
Epoch 809/1500
313/313 - 2s - loss: 0.1183 - categorical_accuracy: 0.9620 - val_loss: 0.4668 - val_categorical_accuracy: 0.9021 - 2s/epoch - 7ms/step
Epoch 810/1500
313/313 - 2s - loss: 0.0923 - categorical_accuracy: 0.9677 - val_loss: 0.4426 - val_categorical_accuracy: 0.9073 - 2s/epoch - 7ms/step
Epoch 811/1500
313/313 - 2s - loss: 0.0954 - categorical_accuracy: 0.9670 - val_loss: 0.9820 - val_categorical_accuracy: 0.8166 - 2s/epoch - 7ms/step
Epoch 812/1500
313/313 - 2s - loss: 0.1052 - categorical_accuracy: 0.9647 - val_loss: 0.3568 - val_categorical_accuracy: 0.9245 - 2s/epoch - 7ms/step
Epoch 813/1500
313/313 - 2s - loss: 0.0900 - categorical_accuracy: 0.9688 - val_loss: 0.8183 - val_categorical_accuracy: 0.8654 - 2s/epoch - 7ms/step
Epoch 814/1500
313/313 - 2s - loss: 0.1041 - categorical_accuracy: 0.9647 - val_loss: 0.4533 - val_categorical_accuracy: 0.9065 - 2s/epoch - 7ms/step
Epoch 815/1500
313/313 - 2s - loss: 0.0931 - categorical_accuracy: 0.9672 - val_loss: 1.2732 - val_categorical_accuracy: 0.7644 - 2s/epoch - 7ms/step
Epoch 816/1500
313/313 - 2s - loss: 0.1158 - categorical_accuracy: 0.9619 - val_loss: 0.4775 - val_categorical_accuracy: 0.8890 - 2s/epoch - 8ms/step
Epoch 817/1500
313/313 - 2s - loss: 0.0954 - categorical_accuracy: 0.9661 - val_loss: 0.4638 - val_categorical_accuracy: 0.9026 - 2s/epoch - 7ms/step
Epoch 818/1500
313/313 - 2s - loss: 0.0912 - categorical_accuracy: 0.9682 - val_loss: 0.3256 - val_categorical_accuracy: 0.9270 - 2s/epoch - 7ms/step
Epoch 819/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9678 - val_loss: 0.5552 - val_categorical_accuracy: 0.8818 - 2s/epoch - 7ms/step
Epoch 820/1500
313/313 - 2s - loss: 0.0955 - categorical_accuracy: 0.9665 - val_loss: 1.0736 - val_categorical_accuracy: 0.8050 - 2s/epoch - 8ms/step
Epoch 821/1500
313/313 - 2s - loss: 0.1096 - categorical_accuracy: 0.9633 - val_loss: 0.3987 - val_categorical_accuracy: 0.9091 - 2s/epoch - 7ms/step
Epoch 822/1500
313/313 - 2s - loss: 0.0903 - categorical_accuracy: 0.9681 - val_loss: 0.5324 - val_categorical_accuracy: 0.8807 - 2s/epoch - 7ms/step
Epoch 823/1500
313/313 - 2s - loss: 0.0961 - categorical_accuracy: 0.9664 - val_loss: 0.7401 - val_categorical_accuracy: 0.8584 - 2s/epoch - 7ms/step
Epoch 824/1500
313/313 - 2s - loss: 0.1061 - categorical_accuracy: 0.9644 - val_loss: 0.3356 - val_categorical_accuracy: 0.9246 - 2s/epoch - 7ms/step
Epoch 825/1500
313/313 - 2s - loss: 0.0904 - categorical_accuracy: 0.9681 - val_loss: 0.3398 - val_categorical_accuracy: 0.9279 - 2s/epoch - 7ms/step
Epoch 826/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9678 - val_loss: 0.3643 - val_categorical_accuracy: 0.9192 - 2s/epoch - 7ms/step
Epoch 827/1500
313/313 - 2s - loss: 0.0927 - categorical_accuracy: 0.9670 - val_loss: 0.8296 - val_categorical_accuracy: 0.8445 - 2s/epoch - 7ms/step
Epoch 828/1500
313/313 - 2s - loss: 0.0978 - categorical_accuracy: 0.9665 - val_loss: 0.4336 - val_categorical_accuracy: 0.9078 - 2s/epoch - 7ms/step
Epoch 829/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9680 - val_loss: 0.4960 - val_categorical_accuracy: 0.8943 - 2s/epoch - 7ms/step
Epoch 830/1500
313/313 - 2s - loss: 0.0958 - categorical_accuracy: 0.9664 - val_loss: 0.4443 - val_categorical_accuracy: 0.9092 - 2s/epoch - 7ms/step
Epoch 831/1500
313/313 - 2s - loss: 0.0906 - categorical_accuracy: 0.9681 - val_loss: 1.0388 - val_categorical_accuracy: 0.8085 - 2s/epoch - 8ms/step
Epoch 832/1500
313/313 - 2s - loss: 0.1030 - categorical_accuracy: 0.9644 - val_loss: 0.6161 - val_categorical_accuracy: 0.8804 - 2s/epoch - 7ms/step
Epoch 833/1500
313/313 - 2s - loss: 0.0954 - categorical_accuracy: 0.9670 - val_loss: 0.8704 - val_categorical_accuracy: 0.8371 - 2s/epoch - 7ms/step
Epoch 834/1500
313/313 - 2s - loss: 0.1015 - categorical_accuracy: 0.9651 - val_loss: 0.3492 - val_categorical_accuracy: 0.9231 - 2s/epoch - 7ms/step
Epoch 835/1500
313/313 - 2s - loss: 0.0897 - categorical_accuracy: 0.9682 - val_loss: 1.4435 - val_categorical_accuracy: 0.7856 - 2s/epoch - 7ms/step
Epoch 836/1500
313/313 - 2s - loss: 0.1119 - categorical_accuracy: 0.9617 - val_loss: 2.0638 - val_categorical_accuracy: 0.7793 - 2s/epoch - 7ms/step
Epoch 837/1500
313/313 - 2s - loss: 0.1138 - categorical_accuracy: 0.9628 - val_loss: 1.0130 - val_categorical_accuracy: 0.8196 - 2s/epoch - 7ms/step
Epoch 838/1500
313/313 - 2s - loss: 0.0999 - categorical_accuracy: 0.9656 - val_loss: 0.3925 - val_categorical_accuracy: 0.9080 - 2s/epoch - 7ms/step
Epoch 839/1500
313/313 - 2s - loss: 0.0934 - categorical_accuracy: 0.9668 - val_loss: 0.4230 - val_categorical_accuracy: 0.9041 - 2s/epoch - 7ms/step
Epoch 840/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9680 - val_loss: 0.8341 - val_categorical_accuracy: 0.8275 - 2s/epoch - 7ms/step
Epoch 841/1500
313/313 - 2s - loss: 0.1065 - categorical_accuracy: 0.9635 - val_loss: 0.3352 - val_categorical_accuracy: 0.9228 - 2s/epoch - 7ms/step
Epoch 842/1500
313/313 - 2s - loss: 0.0916 - categorical_accuracy: 0.9673 - val_loss: 1.6681 - val_categorical_accuracy: 0.7229 - 2s/epoch - 7ms/step
Epoch 843/1500
313/313 - 2s - loss: 0.1221 - categorical_accuracy: 0.9615 - val_loss: 1.2496 - val_categorical_accuracy: 0.8169 - 2s/epoch - 7ms/step
Epoch 844/1500
313/313 - 2s - loss: 0.1066 - categorical_accuracy: 0.9643 - val_loss: 0.3269 - val_categorical_accuracy: 0.9259 - 2s/epoch - 8ms/step
Epoch 845/1500
313/313 - 2s - loss: 0.0879 - categorical_accuracy: 0.9692 - val_loss: 0.6850 - val_categorical_accuracy: 0.8654 - 2s/epoch - 7ms/step
Epoch 846/1500
313/313 - 2s - loss: 0.0981 - categorical_accuracy: 0.9664 - val_loss: 0.4868 - val_categorical_accuracy: 0.8842 - 2s/epoch - 7ms/step
Epoch 847/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9679 - val_loss: 0.3477 - val_categorical_accuracy: 0.9285 - 2s/epoch - 7ms/step
Epoch 848/1500
313/313 - 3s - loss: 0.0922 - categorical_accuracy: 0.9681 - val_loss: 0.3500 - val_categorical_accuracy: 0.9201 - 3s/epoch - 8ms/step
Epoch 849/1500
313/313 - 2s - loss: 0.0886 - categorical_accuracy: 0.9691 - val_loss: 0.4707 - val_categorical_accuracy: 0.9033 - 2s/epoch - 8ms/step
Epoch 850/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9685 - val_loss: 0.5151 - val_categorical_accuracy: 0.8764 - 2s/epoch - 8ms/step
Epoch 851/1500
313/313 - 2s - loss: 0.0966 - categorical_accuracy: 0.9666 - val_loss: 4.0010 - val_categorical_accuracy: 0.6776 - 2s/epoch - 8ms/step
Epoch 852/1500
313/313 - 2s - loss: 0.1942 - categorical_accuracy: 0.9457 - val_loss: 0.6939 - val_categorical_accuracy: 0.8245 - 2s/epoch - 8ms/step
Epoch 853/1500
313/313 - 2s - loss: 0.0996 - categorical_accuracy: 0.9649 - val_loss: 0.3527 - val_categorical_accuracy: 0.9225 - 2s/epoch - 8ms/step
Epoch 854/1500
313/313 - 2s - loss: 0.0936 - categorical_accuracy: 0.9671 - val_loss: 0.3697 - val_categorical_accuracy: 0.9188 - 2s/epoch - 8ms/step
Epoch 855/1500
313/313 - 2s - loss: 0.0918 - categorical_accuracy: 0.9679 - val_loss: 0.3791 - val_categorical_accuracy: 0.9168 - 2s/epoch - 8ms/step
Epoch 856/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9672 - val_loss: 1.6943 - val_categorical_accuracy: 0.7482 - 2s/epoch - 8ms/step
Epoch 857/1500
313/313 - 2s - loss: 0.1248 - categorical_accuracy: 0.9602 - val_loss: 0.3299 - val_categorical_accuracy: 0.9284 - 2s/epoch - 8ms/step
Epoch 858/1500
313/313 - 2s - loss: 0.0926 - categorical_accuracy: 0.9678 - val_loss: 0.3613 - val_categorical_accuracy: 0.9260 - 2s/epoch - 8ms/step
Epoch 859/1500
313/313 - 2s - loss: 0.0931 - categorical_accuracy: 0.9674 - val_loss: 0.7570 - val_categorical_accuracy: 0.8499 - 2s/epoch - 7ms/step
Epoch 860/1500
313/313 - 2s - loss: 0.1062 - categorical_accuracy: 0.9633 - val_loss: 0.7288 - val_categorical_accuracy: 0.8645 - 2s/epoch - 8ms/step
Epoch 861/1500
313/313 - 2s - loss: 0.0943 - categorical_accuracy: 0.9672 - val_loss: 0.5492 - val_categorical_accuracy: 0.8780 - 2s/epoch - 8ms/step
Epoch 862/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9669 - val_loss: 0.4641 - val_categorical_accuracy: 0.9011 - 2s/epoch - 8ms/step
Epoch 863/1500
313/313 - 2s - loss: 0.0933 - categorical_accuracy: 0.9671 - val_loss: 0.3425 - val_categorical_accuracy: 0.9270 - 2s/epoch - 8ms/step
Epoch 864/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9670 - val_loss: 0.4092 - val_categorical_accuracy: 0.9072 - 2s/epoch - 8ms/step
Epoch 865/1500
313/313 - 2s - loss: 0.0941 - categorical_accuracy: 0.9672 - val_loss: 0.7048 - val_categorical_accuracy: 0.8682 - 2s/epoch - 8ms/step
Epoch 866/1500
313/313 - 2s - loss: 0.1007 - categorical_accuracy: 0.9651 - val_loss: 0.5631 - val_categorical_accuracy: 0.8770 - 2s/epoch - 8ms/step
Epoch 867/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9667 - val_loss: 0.4914 - val_categorical_accuracy: 0.8952 - 2s/epoch - 8ms/step
Epoch 868/1500
313/313 - 2s - loss: 0.0941 - categorical_accuracy: 0.9666 - val_loss: 0.3532 - val_categorical_accuracy: 0.9245 - 2s/epoch - 8ms/step
Epoch 869/1500
313/313 - 2s - loss: 0.0958 - categorical_accuracy: 0.9666 - val_loss: 0.6031 - val_categorical_accuracy: 0.8734 - 2s/epoch - 8ms/step
Epoch 870/1500
313/313 - 2s - loss: 0.0958 - categorical_accuracy: 0.9664 - val_loss: 0.4369 - val_categorical_accuracy: 0.9066 - 2s/epoch - 8ms/step
Epoch 871/1500
313/313 - 2s - loss: 0.0913 - categorical_accuracy: 0.9680 - val_loss: 0.6321 - val_categorical_accuracy: 0.8645 - 2s/epoch - 8ms/step
Epoch 872/1500
313/313 - 2s - loss: 0.0970 - categorical_accuracy: 0.9658 - val_loss: 0.5664 - val_categorical_accuracy: 0.8925 - 2s/epoch - 8ms/step
Epoch 873/1500
313/313 - 2s - loss: 0.0995 - categorical_accuracy: 0.9648 - val_loss: 0.4662 - val_categorical_accuracy: 0.8968 - 2s/epoch - 8ms/step
Epoch 874/1500
313/313 - 2s - loss: 0.0951 - categorical_accuracy: 0.9667 - val_loss: 1.4957 - val_categorical_accuracy: 0.7805 - 2s/epoch - 8ms/step
Epoch 875/1500
313/313 - 2s - loss: 0.1098 - categorical_accuracy: 0.9632 - val_loss: 0.5423 - val_categorical_accuracy: 0.8824 - 2s/epoch - 8ms/step
Epoch 876/1500
313/313 - 2s - loss: 0.0953 - categorical_accuracy: 0.9665 - val_loss: 0.5181 - val_categorical_accuracy: 0.8809 - 2s/epoch - 8ms/step
Epoch 877/1500
313/313 - 2s - loss: 0.0948 - categorical_accuracy: 0.9667 - val_loss: 0.9975 - val_categorical_accuracy: 0.8313 - 2s/epoch - 7ms/step
Epoch 878/1500
313/313 - 2s - loss: 0.1030 - categorical_accuracy: 0.9644 - val_loss: 0.3325 - val_categorical_accuracy: 0.9313 - 2s/epoch - 8ms/step
Epoch 879/1500
313/313 - 2s - loss: 0.0913 - categorical_accuracy: 0.9681 - val_loss: 0.9193 - val_categorical_accuracy: 0.8260 - 2s/epoch - 8ms/step
Epoch 880/1500
313/313 - 2s - loss: 0.1013 - categorical_accuracy: 0.9657 - val_loss: 0.3297 - val_categorical_accuracy: 0.9302 - 2s/epoch - 8ms/step
Epoch 881/1500
313/313 - 2s - loss: 0.0933 - categorical_accuracy: 0.9676 - val_loss: 0.3611 - val_categorical_accuracy: 0.9253 - 2s/epoch - 8ms/step
Epoch 882/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9685 - val_loss: 0.3537 - val_categorical_accuracy: 0.9174 - 2s/epoch - 8ms/step
Epoch 883/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9678 - val_loss: 0.6255 - val_categorical_accuracy: 0.8855 - 2s/epoch - 7ms/step
Epoch 884/1500
313/313 - 2s - loss: 0.0975 - categorical_accuracy: 0.9659 - val_loss: 0.4150 - val_categorical_accuracy: 0.9103 - 2s/epoch - 8ms/step
Epoch 885/1500
313/313 - 2s - loss: 0.0974 - categorical_accuracy: 0.9657 - val_loss: 0.8603 - val_categorical_accuracy: 0.8448 - 2s/epoch - 7ms/step
Epoch 886/1500
313/313 - 2s - loss: 0.0985 - categorical_accuracy: 0.9660 - val_loss: 0.9820 - val_categorical_accuracy: 0.8119 - 2s/epoch - 8ms/step
Epoch 887/1500
313/313 - 2s - loss: 0.1009 - categorical_accuracy: 0.9654 - val_loss: 0.6832 - val_categorical_accuracy: 0.8674 - 2s/epoch - 8ms/step
Epoch 888/1500
313/313 - 2s - loss: 0.0999 - categorical_accuracy: 0.9656 - val_loss: 0.4904 - val_categorical_accuracy: 0.9053 - 2s/epoch - 8ms/step
Epoch 889/1500
313/313 - 2s - loss: 0.0939 - categorical_accuracy: 0.9674 - val_loss: 0.3688 - val_categorical_accuracy: 0.9229 - 2s/epoch - 8ms/step
Epoch 890/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9682 - val_loss: 0.3998 - val_categorical_accuracy: 0.9113 - 2s/epoch - 8ms/step
Epoch 891/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9684 - val_loss: 0.9071 - val_categorical_accuracy: 0.8237 - 2s/epoch - 7ms/step
Epoch 892/1500
313/313 - 2s - loss: 0.1054 - categorical_accuracy: 0.9637 - val_loss: 0.4612 - val_categorical_accuracy: 0.9049 - 2s/epoch - 8ms/step
Epoch 893/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9671 - val_loss: 0.3756 - val_categorical_accuracy: 0.9234 - 2s/epoch - 8ms/step
Epoch 894/1500
313/313 - 2s - loss: 0.0933 - categorical_accuracy: 0.9671 - val_loss: 0.6922 - val_categorical_accuracy: 0.8599 - 2s/epoch - 7ms/step
Epoch 895/1500
313/313 - 2s - loss: 0.0977 - categorical_accuracy: 0.9661 - val_loss: 0.4165 - val_categorical_accuracy: 0.9166 - 2s/epoch - 8ms/step
Epoch 896/1500
313/313 - 2s - loss: 0.0939 - categorical_accuracy: 0.9674 - val_loss: 0.4192 - val_categorical_accuracy: 0.9139 - 2s/epoch - 8ms/step
Epoch 897/1500
313/313 - 2s - loss: 0.0958 - categorical_accuracy: 0.9665 - val_loss: 1.6639 - val_categorical_accuracy: 0.7455 - 2s/epoch - 8ms/step
Epoch 898/1500
313/313 - 2s - loss: 0.1145 - categorical_accuracy: 0.9623 - val_loss: 1.1837 - val_categorical_accuracy: 0.8023 - 2s/epoch - 8ms/step
Epoch 899/1500
313/313 - 2s - loss: 0.1078 - categorical_accuracy: 0.9633 - val_loss: 0.3496 - val_categorical_accuracy: 0.9261 - 2s/epoch - 7ms/step
Epoch 900/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9681 - val_loss: 0.3457 - val_categorical_accuracy: 0.9251 - 2s/epoch - 8ms/step
Epoch 901/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9687 - val_loss: 0.5734 - val_categorical_accuracy: 0.8719 - 2s/epoch - 8ms/step
Epoch 902/1500
313/313 - 2s - loss: 0.1005 - categorical_accuracy: 0.9650 - val_loss: 0.3808 - val_categorical_accuracy: 0.9169 - 2s/epoch - 7ms/step
Epoch 903/1500
313/313 - 2s - loss: 0.0925 - categorical_accuracy: 0.9679 - val_loss: 0.4383 - val_categorical_accuracy: 0.9079 - 2s/epoch - 8ms/step
Epoch 904/1500
313/313 - 2s - loss: 0.0908 - categorical_accuracy: 0.9683 - val_loss: 0.6825 - val_categorical_accuracy: 0.8461 - 2s/epoch - 8ms/step
Epoch 905/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9652 - val_loss: 0.4091 - val_categorical_accuracy: 0.9119 - 2s/epoch - 7ms/step
Epoch 906/1500
313/313 - 2s - loss: 0.0966 - categorical_accuracy: 0.9666 - val_loss: 0.4000 - val_categorical_accuracy: 0.9090 - 2s/epoch - 8ms/step
Epoch 907/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9677 - val_loss: 0.5585 - val_categorical_accuracy: 0.8796 - 2s/epoch - 7ms/step
Epoch 908/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9680 - val_loss: 0.7081 - val_categorical_accuracy: 0.8639 - 2s/epoch - 8ms/step
Epoch 909/1500
313/313 - 2s - loss: 0.1101 - categorical_accuracy: 0.9623 - val_loss: 0.4396 - val_categorical_accuracy: 0.9061 - 2s/epoch - 8ms/step
Epoch 910/1500
313/313 - 2s - loss: 0.0940 - categorical_accuracy: 0.9670 - val_loss: 0.7937 - val_categorical_accuracy: 0.8414 - 2s/epoch - 8ms/step
Epoch 911/1500
313/313 - 2s - loss: 0.0997 - categorical_accuracy: 0.9656 - val_loss: 0.7418 - val_categorical_accuracy: 0.8625 - 2s/epoch - 7ms/step
Epoch 912/1500
313/313 - 2s - loss: 0.0990 - categorical_accuracy: 0.9658 - val_loss: 0.5424 - val_categorical_accuracy: 0.8854 - 2s/epoch - 8ms/step
Epoch 913/1500
313/313 - 2s - loss: 0.0931 - categorical_accuracy: 0.9672 - val_loss: 0.6109 - val_categorical_accuracy: 0.8730 - 2s/epoch - 8ms/step
Epoch 914/1500
313/313 - 2s - loss: 0.0970 - categorical_accuracy: 0.9664 - val_loss: 0.4289 - val_categorical_accuracy: 0.9107 - 2s/epoch - 8ms/step
Epoch 915/1500
313/313 - 2s - loss: 0.0873 - categorical_accuracy: 0.9694 - val_loss: 0.5379 - val_categorical_accuracy: 0.8954 - 2s/epoch - 7ms/step
Epoch 916/1500
313/313 - 2s - loss: 0.0918 - categorical_accuracy: 0.9681 - val_loss: 0.5845 - val_categorical_accuracy: 0.8945 - 2s/epoch - 8ms/step
Epoch 917/1500
313/313 - 2s - loss: 0.0968 - categorical_accuracy: 0.9665 - val_loss: 1.4296 - val_categorical_accuracy: 0.7894 - 2s/epoch - 8ms/step
Epoch 918/1500
313/313 - 2s - loss: 0.1059 - categorical_accuracy: 0.9640 - val_loss: 0.7974 - val_categorical_accuracy: 0.8450 - 2s/epoch - 8ms/step
Epoch 919/1500
313/313 - 2s - loss: 0.0998 - categorical_accuracy: 0.9657 - val_loss: 0.3531 - val_categorical_accuracy: 0.9236 - 2s/epoch - 8ms/step
Epoch 920/1500
313/313 - 2s - loss: 0.0868 - categorical_accuracy: 0.9692 - val_loss: 0.4727 - val_categorical_accuracy: 0.9103 - 2s/epoch - 8ms/step
Epoch 921/1500
313/313 - 2s - loss: 0.0893 - categorical_accuracy: 0.9693 - val_loss: 0.4613 - val_categorical_accuracy: 0.8983 - 2s/epoch - 7ms/step
Epoch 922/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9681 - val_loss: 0.3945 - val_categorical_accuracy: 0.9145 - 2s/epoch - 8ms/step
Epoch 923/1500
313/313 - 2s - loss: 0.0955 - categorical_accuracy: 0.9668 - val_loss: 0.4103 - val_categorical_accuracy: 0.9084 - 2s/epoch - 7ms/step
Epoch 924/1500
313/313 - 2s - loss: 0.0934 - categorical_accuracy: 0.9673 - val_loss: 0.5860 - val_categorical_accuracy: 0.8849 - 2s/epoch - 7ms/step
Epoch 925/1500
313/313 - 2s - loss: 0.0961 - categorical_accuracy: 0.9667 - val_loss: 0.4703 - val_categorical_accuracy: 0.8991 - 2s/epoch - 8ms/step
Epoch 926/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9680 - val_loss: 0.4441 - val_categorical_accuracy: 0.8997 - 2s/epoch - 8ms/step
Epoch 927/1500
313/313 - 2s - loss: 0.0916 - categorical_accuracy: 0.9682 - val_loss: 0.5195 - val_categorical_accuracy: 0.8828 - 2s/epoch - 7ms/step
Epoch 928/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9678 - val_loss: 0.7464 - val_categorical_accuracy: 0.8751 - 2s/epoch - 8ms/step
Epoch 929/1500
313/313 - 2s - loss: 0.1020 - categorical_accuracy: 0.9649 - val_loss: 2.1143 - val_categorical_accuracy: 0.7180 - 2s/epoch - 8ms/step
Epoch 930/1500
313/313 - 2s - loss: 0.1180 - categorical_accuracy: 0.9618 - val_loss: 0.4275 - val_categorical_accuracy: 0.9048 - 2s/epoch - 8ms/step
Epoch 931/1500
313/313 - 2s - loss: 0.0912 - categorical_accuracy: 0.9683 - val_loss: 0.4047 - val_categorical_accuracy: 0.9071 - 2s/epoch - 8ms/step
Epoch 932/1500
313/313 - 2s - loss: 0.0884 - categorical_accuracy: 0.9694 - val_loss: 0.4254 - val_categorical_accuracy: 0.9030 - 2s/epoch - 7ms/step
Epoch 933/1500
313/313 - 2s - loss: 0.0887 - categorical_accuracy: 0.9687 - val_loss: 0.3730 - val_categorical_accuracy: 0.9206 - 2s/epoch - 8ms/step
Epoch 934/1500
313/313 - 2s - loss: 0.0904 - categorical_accuracy: 0.9685 - val_loss: 1.9277 - val_categorical_accuracy: 0.7395 - 2s/epoch - 8ms/step
Epoch 935/1500
313/313 - 2s - loss: 0.1403 - categorical_accuracy: 0.9559 - val_loss: 0.5396 - val_categorical_accuracy: 0.8772 - 2s/epoch - 7ms/step
Epoch 936/1500
313/313 - 2s - loss: 0.0906 - categorical_accuracy: 0.9682 - val_loss: 0.4401 - val_categorical_accuracy: 0.9091 - 2s/epoch - 7ms/step
Epoch 937/1500
313/313 - 2s - loss: 0.0933 - categorical_accuracy: 0.9669 - val_loss: 0.4990 - val_categorical_accuracy: 0.9021 - 2s/epoch - 7ms/step
Epoch 938/1500
313/313 - 2s - loss: 0.0916 - categorical_accuracy: 0.9678 - val_loss: 0.3675 - val_categorical_accuracy: 0.9130 - 2s/epoch - 8ms/step
Epoch 939/1500
313/313 - 2s - loss: 0.0873 - categorical_accuracy: 0.9696 - val_loss: 0.4228 - val_categorical_accuracy: 0.9056 - 2s/epoch - 7ms/step
Epoch 940/1500
313/313 - 2s - loss: 0.0888 - categorical_accuracy: 0.9688 - val_loss: 0.6965 - val_categorical_accuracy: 0.8586 - 2s/epoch - 7ms/step
Epoch 941/1500
313/313 - 2s - loss: 0.0964 - categorical_accuracy: 0.9667 - val_loss: 0.3623 - val_categorical_accuracy: 0.9206 - 2s/epoch - 7ms/step
Epoch 942/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9674 - val_loss: 0.3445 - val_categorical_accuracy: 0.9276 - 2s/epoch - 7ms/step
Epoch 943/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9678 - val_loss: 0.3763 - val_categorical_accuracy: 0.9174 - 2s/epoch - 7ms/step
Epoch 944/1500
313/313 - 2s - loss: 0.0926 - categorical_accuracy: 0.9678 - val_loss: 0.3986 - val_categorical_accuracy: 0.9148 - 2s/epoch - 7ms/step
Epoch 945/1500
313/313 - 2s - loss: 0.0937 - categorical_accuracy: 0.9675 - val_loss: 0.3633 - val_categorical_accuracy: 0.9247 - 2s/epoch - 8ms/step
Epoch 946/1500
313/313 - 2s - loss: 0.0924 - categorical_accuracy: 0.9674 - val_loss: 0.3399 - val_categorical_accuracy: 0.9265 - 2s/epoch - 8ms/step
Epoch 947/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9687 - val_loss: 0.4420 - val_categorical_accuracy: 0.9068 - 2s/epoch - 7ms/step
Epoch 948/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9693 - val_loss: 2.0805 - val_categorical_accuracy: 0.7318 - 2s/epoch - 7ms/step
Epoch 949/1500
313/313 - 2s - loss: 0.1545 - categorical_accuracy: 0.9533 - val_loss: 0.6898 - val_categorical_accuracy: 0.8469 - 2s/epoch - 7ms/step
Epoch 950/1500
313/313 - 2s - loss: 0.0941 - categorical_accuracy: 0.9669 - val_loss: 0.3586 - val_categorical_accuracy: 0.9270 - 2s/epoch - 7ms/step
Epoch 951/1500
313/313 - 2s - loss: 0.0864 - categorical_accuracy: 0.9697 - val_loss: 0.6359 - val_categorical_accuracy: 0.8677 - 2s/epoch - 7ms/step
Epoch 952/1500
313/313 - 2s - loss: 0.0946 - categorical_accuracy: 0.9672 - val_loss: 0.3563 - val_categorical_accuracy: 0.9250 - 2s/epoch - 8ms/step
Epoch 953/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9677 - val_loss: 0.3346 - val_categorical_accuracy: 0.9311 - 2s/epoch - 7ms/step
Epoch 954/1500
313/313 - 2s - loss: 0.0862 - categorical_accuracy: 0.9694 - val_loss: 0.3893 - val_categorical_accuracy: 0.9152 - 2s/epoch - 7ms/step
Epoch 955/1500
313/313 - 2s - loss: 0.0894 - categorical_accuracy: 0.9685 - val_loss: 0.3804 - val_categorical_accuracy: 0.9270 - 2s/epoch - 7ms/step
Epoch 956/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9684 - val_loss: 0.6015 - val_categorical_accuracy: 0.8868 - 2s/epoch - 7ms/step
Epoch 957/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9673 - val_loss: 0.3703 - val_categorical_accuracy: 0.9229 - 2s/epoch - 7ms/step
Epoch 958/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9684 - val_loss: 0.5482 - val_categorical_accuracy: 0.8721 - 2s/epoch - 8ms/step
Epoch 959/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9684 - val_loss: 0.3568 - val_categorical_accuracy: 0.9253 - 2s/epoch - 8ms/step
Epoch 960/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9683 - val_loss: 0.5246 - val_categorical_accuracy: 0.8945 - 2s/epoch - 7ms/step
Epoch 961/1500
313/313 - 2s - loss: 0.0953 - categorical_accuracy: 0.9668 - val_loss: 0.4030 - val_categorical_accuracy: 0.9112 - 2s/epoch - 7ms/step
Epoch 962/1500
313/313 - 2s - loss: 0.0869 - categorical_accuracy: 0.9694 - val_loss: 1.1365 - val_categorical_accuracy: 0.8113 - 2s/epoch - 7ms/step
Epoch 963/1500
313/313 - 2s - loss: 0.1021 - categorical_accuracy: 0.9655 - val_loss: 0.3538 - val_categorical_accuracy: 0.9273 - 2s/epoch - 7ms/step
Epoch 964/1500
313/313 - 2s - loss: 0.0873 - categorical_accuracy: 0.9696 - val_loss: 0.7232 - val_categorical_accuracy: 0.8520 - 2s/epoch - 7ms/step
Epoch 965/1500
313/313 - 2s - loss: 0.0959 - categorical_accuracy: 0.9673 - val_loss: 0.4165 - val_categorical_accuracy: 0.9112 - 2s/epoch - 7ms/step
Epoch 966/1500
313/313 - 2s - loss: 0.0925 - categorical_accuracy: 0.9677 - val_loss: 0.6453 - val_categorical_accuracy: 0.8712 - 2s/epoch - 7ms/step
Epoch 967/1500
313/313 - 2s - loss: 0.0918 - categorical_accuracy: 0.9679 - val_loss: 0.3660 - val_categorical_accuracy: 0.9202 - 2s/epoch - 7ms/step
Epoch 968/1500
313/313 - 2s - loss: 0.0875 - categorical_accuracy: 0.9694 - val_loss: 1.1242 - val_categorical_accuracy: 0.8119 - 2s/epoch - 7ms/step
Epoch 969/1500
313/313 - 2s - loss: 0.0986 - categorical_accuracy: 0.9665 - val_loss: 0.4395 - val_categorical_accuracy: 0.9056 - 2s/epoch - 7ms/step
Epoch 970/1500
313/313 - 2s - loss: 0.0923 - categorical_accuracy: 0.9680 - val_loss: 0.3261 - val_categorical_accuracy: 0.9327 - 2s/epoch - 7ms/step
Epoch 971/1500
313/313 - 2s - loss: 0.0876 - categorical_accuracy: 0.9691 - val_loss: 0.5155 - val_categorical_accuracy: 0.9034 - 2s/epoch - 7ms/step
Epoch 972/1500
313/313 - 2s - loss: 0.0927 - categorical_accuracy: 0.9673 - val_loss: 0.4220 - val_categorical_accuracy: 0.9077 - 2s/epoch - 8ms/step
Epoch 973/1500
313/313 - 2s - loss: 0.0881 - categorical_accuracy: 0.9689 - val_loss: 0.6742 - val_categorical_accuracy: 0.8804 - 2s/epoch - 7ms/step
Epoch 974/1500
313/313 - 2s - loss: 0.0955 - categorical_accuracy: 0.9673 - val_loss: 0.3921 - val_categorical_accuracy: 0.9155 - 2s/epoch - 7ms/step
Epoch 975/1500
313/313 - 2s - loss: 0.0908 - categorical_accuracy: 0.9679 - val_loss: 0.3263 - val_categorical_accuracy: 0.9303 - 2s/epoch - 7ms/step
Epoch 976/1500
313/313 - 2s - loss: 0.0881 - categorical_accuracy: 0.9693 - val_loss: 0.3897 - val_categorical_accuracy: 0.9162 - 2s/epoch - 7ms/step
Epoch 977/1500
313/313 - 2s - loss: 0.0901 - categorical_accuracy: 0.9686 - val_loss: 0.3817 - val_categorical_accuracy: 0.9208 - 2s/epoch - 7ms/step
Epoch 978/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9678 - val_loss: 0.3565 - val_categorical_accuracy: 0.9257 - 2s/epoch - 7ms/step
Epoch 979/1500
313/313 - 2s - loss: 0.0905 - categorical_accuracy: 0.9689 - val_loss: 0.3470 - val_categorical_accuracy: 0.9274 - 2s/epoch - 7ms/step
Epoch 980/1500
313/313 - 2s - loss: 0.0867 - categorical_accuracy: 0.9698 - val_loss: 0.5872 - val_categorical_accuracy: 0.8894 - 2s/epoch - 7ms/step
Epoch 981/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9680 - val_loss: 0.6140 - val_categorical_accuracy: 0.8898 - 2s/epoch - 7ms/step
Epoch 982/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9676 - val_loss: 0.9911 - val_categorical_accuracy: 0.8146 - 2s/epoch - 7ms/step
Epoch 983/1500
313/313 - 2s - loss: 0.1050 - categorical_accuracy: 0.9651 - val_loss: 0.5265 - val_categorical_accuracy: 0.9007 - 2s/epoch - 8ms/step
Epoch 984/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9668 - val_loss: 0.5815 - val_categorical_accuracy: 0.8742 - 2s/epoch - 8ms/step
Epoch 985/1500
313/313 - 2s - loss: 0.0930 - categorical_accuracy: 0.9674 - val_loss: 1.0035 - val_categorical_accuracy: 0.8282 - 2s/epoch - 7ms/step
Epoch 986/1500
313/313 - 2s - loss: 0.0995 - categorical_accuracy: 0.9655 - val_loss: 0.9311 - val_categorical_accuracy: 0.8376 - 2s/epoch - 7ms/step
Epoch 987/1500
313/313 - 2s - loss: 0.1114 - categorical_accuracy: 0.9625 - val_loss: 0.4548 - val_categorical_accuracy: 0.9121 - 2s/epoch - 8ms/step
Epoch 988/1500
313/313 - 2s - loss: 0.0930 - categorical_accuracy: 0.9674 - val_loss: 0.4201 - val_categorical_accuracy: 0.9105 - 2s/epoch - 7ms/step
Epoch 989/1500
313/313 - 2s - loss: 0.0874 - categorical_accuracy: 0.9691 - val_loss: 0.3532 - val_categorical_accuracy: 0.9288 - 2s/epoch - 7ms/step
Epoch 990/1500
313/313 - 2s - loss: 0.0836 - categorical_accuracy: 0.9703 - val_loss: 0.5647 - val_categorical_accuracy: 0.8786 - 2s/epoch - 7ms/step
Epoch 991/1500
313/313 - 2s - loss: 0.0924 - categorical_accuracy: 0.9673 - val_loss: 1.5575 - val_categorical_accuracy: 0.7809 - 2s/epoch - 7ms/step
Epoch 992/1500
313/313 - 2s - loss: 0.1052 - categorical_accuracy: 0.9652 - val_loss: 0.6558 - val_categorical_accuracy: 0.8719 - 2s/epoch - 7ms/step
Epoch 993/1500
313/313 - 2s - loss: 0.0941 - categorical_accuracy: 0.9672 - val_loss: 1.6642 - val_categorical_accuracy: 0.7783 - 2s/epoch - 7ms/step
Epoch 994/1500
313/313 - 2s - loss: 0.1181 - categorical_accuracy: 0.9615 - val_loss: 0.4156 - val_categorical_accuracy: 0.9080 - 2s/epoch - 7ms/step
Epoch 995/1500
313/313 - 2s - loss: 0.0878 - categorical_accuracy: 0.9687 - val_loss: 0.3843 - val_categorical_accuracy: 0.9162 - 2s/epoch - 7ms/step
Epoch 996/1500
313/313 - 2s - loss: 0.0869 - categorical_accuracy: 0.9694 - val_loss: 1.2645 - val_categorical_accuracy: 0.7871 - 2s/epoch - 7ms/step
Epoch 997/1500
313/313 - 2s - loss: 0.1111 - categorical_accuracy: 0.9640 - val_loss: 0.3587 - val_categorical_accuracy: 0.9270 - 2s/epoch - 7ms/step
Epoch 998/1500
313/313 - 2s - loss: 0.0906 - categorical_accuracy: 0.9682 - val_loss: 0.8881 - val_categorical_accuracy: 0.8382 - 2s/epoch - 7ms/step
Epoch 999/1500
313/313 - 2s - loss: 0.0956 - categorical_accuracy: 0.9671 - val_loss: 1.1180 - val_categorical_accuracy: 0.8189 - 2s/epoch - 7ms/step
Epoch 1000/1500
313/313 - 2s - loss: 0.1080 - categorical_accuracy: 0.9636 - val_loss: 0.3319 - val_categorical_accuracy: 0.9251 - 2s/epoch - 8ms/step
Epoch 1001/1500
313/313 - 2s - loss: 0.0871 - categorical_accuracy: 0.9693 - val_loss: 0.3706 - val_categorical_accuracy: 0.9269 - 2s/epoch - 7ms/step
Epoch 1002/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9698 - val_loss: 0.3736 - val_categorical_accuracy: 0.9224 - 2s/epoch - 7ms/step
Epoch 1003/1500
313/313 - 2s - loss: 0.0875 - categorical_accuracy: 0.9691 - val_loss: 0.7253 - val_categorical_accuracy: 0.8710 - 2s/epoch - 7ms/step
Epoch 1004/1500
313/313 - 2s - loss: 0.0953 - categorical_accuracy: 0.9669 - val_loss: 1.6582 - val_categorical_accuracy: 0.7542 - 2s/epoch - 7ms/step
Epoch 1005/1500
313/313 - 2s - loss: 0.1115 - categorical_accuracy: 0.9642 - val_loss: 0.3298 - val_categorical_accuracy: 0.9306 - 2s/epoch - 7ms/step
Epoch 1006/1500
313/313 - 2s - loss: 0.0834 - categorical_accuracy: 0.9706 - val_loss: 0.4866 - val_categorical_accuracy: 0.8999 - 2s/epoch - 7ms/step
Epoch 1007/1500
313/313 - 2s - loss: 0.0865 - categorical_accuracy: 0.9699 - val_loss: 0.4807 - val_categorical_accuracy: 0.9033 - 2s/epoch - 7ms/step
Epoch 1008/1500
313/313 - 2s - loss: 0.0870 - categorical_accuracy: 0.9697 - val_loss: 0.5490 - val_categorical_accuracy: 0.8917 - 2s/epoch - 7ms/step
Epoch 1009/1500
313/313 - 2s - loss: 0.0935 - categorical_accuracy: 0.9674 - val_loss: 0.5149 - val_categorical_accuracy: 0.8862 - 2s/epoch - 8ms/step
Epoch 1010/1500
313/313 - 2s - loss: 0.0898 - categorical_accuracy: 0.9687 - val_loss: 0.3758 - val_categorical_accuracy: 0.9142 - 2s/epoch - 8ms/step
Epoch 1011/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9696 - val_loss: 0.5722 - val_categorical_accuracy: 0.8712 - 2s/epoch - 7ms/step
Epoch 1012/1500
313/313 - 2s - loss: 0.0945 - categorical_accuracy: 0.9678 - val_loss: 1.5518 - val_categorical_accuracy: 0.7878 - 2s/epoch - 7ms/step
Epoch 1013/1500
313/313 - 2s - loss: 0.1566 - categorical_accuracy: 0.9555 - val_loss: 0.3176 - val_categorical_accuracy: 0.9316 - 2s/epoch - 7ms/step
Epoch 1014/1500
313/313 - 2s - loss: 0.0862 - categorical_accuracy: 0.9692 - val_loss: 0.5238 - val_categorical_accuracy: 0.8935 - 2s/epoch - 7ms/step
Epoch 1015/1500
313/313 - 2s - loss: 0.0889 - categorical_accuracy: 0.9692 - val_loss: 0.4750 - val_categorical_accuracy: 0.9041 - 2s/epoch - 7ms/step
Epoch 1016/1500
313/313 - 2s - loss: 0.0928 - categorical_accuracy: 0.9675 - val_loss: 2.0002 - val_categorical_accuracy: 0.7433 - 2s/epoch - 7ms/step
Epoch 1017/1500
313/313 - 2s - loss: 0.1272 - categorical_accuracy: 0.9612 - val_loss: 0.9392 - val_categorical_accuracy: 0.8314 - 2s/epoch - 7ms/step
Epoch 1018/1500
313/313 - 2s - loss: 0.0884 - categorical_accuracy: 0.9691 - val_loss: 0.3965 - val_categorical_accuracy: 0.9122 - 2s/epoch - 7ms/step
Epoch 1019/1500
313/313 - 2s - loss: 0.0844 - categorical_accuracy: 0.9706 - val_loss: 0.6444 - val_categorical_accuracy: 0.8770 - 2s/epoch - 8ms/step
Epoch 1020/1500
313/313 - 2s - loss: 0.0896 - categorical_accuracy: 0.9686 - val_loss: 0.6097 - val_categorical_accuracy: 0.8769 - 2s/epoch - 7ms/step
Epoch 1021/1500
313/313 - 2s - loss: 0.0935 - categorical_accuracy: 0.9681 - val_loss: 0.3382 - val_categorical_accuracy: 0.9308 - 2s/epoch - 7ms/step
Epoch 1022/1500
313/313 - 2s - loss: 0.0856 - categorical_accuracy: 0.9698 - val_loss: 0.5279 - val_categorical_accuracy: 0.8822 - 2s/epoch - 7ms/step
Epoch 1023/1500
313/313 - 2s - loss: 0.0907 - categorical_accuracy: 0.9683 - val_loss: 0.4275 - val_categorical_accuracy: 0.9107 - 2s/epoch - 7ms/step
Epoch 1024/1500
313/313 - 2s - loss: 0.0873 - categorical_accuracy: 0.9698 - val_loss: 0.3922 - val_categorical_accuracy: 0.9143 - 2s/epoch - 7ms/step
Epoch 1025/1500
313/313 - 2s - loss: 0.0869 - categorical_accuracy: 0.9693 - val_loss: 0.3878 - val_categorical_accuracy: 0.9157 - 2s/epoch - 7ms/step
Epoch 1026/1500
313/313 - 2s - loss: 0.0853 - categorical_accuracy: 0.9705 - val_loss: 0.6369 - val_categorical_accuracy: 0.8759 - 2s/epoch - 7ms/step
Epoch 1027/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9679 - val_loss: 0.3945 - val_categorical_accuracy: 0.9167 - 2s/epoch - 7ms/step
Epoch 1028/1500
313/313 - 2s - loss: 0.0893 - categorical_accuracy: 0.9685 - val_loss: 1.1555 - val_categorical_accuracy: 0.8060 - 2s/epoch - 7ms/step
Epoch 1029/1500
313/313 - 2s - loss: 0.1054 - categorical_accuracy: 0.9647 - val_loss: 0.7431 - val_categorical_accuracy: 0.8640 - 2s/epoch - 7ms/step
Epoch 1030/1500
313/313 - 2s - loss: 0.0976 - categorical_accuracy: 0.9663 - val_loss: 0.4043 - val_categorical_accuracy: 0.9157 - 2s/epoch - 7ms/step
Epoch 1031/1500
313/313 - 2s - loss: 0.0887 - categorical_accuracy: 0.9688 - val_loss: 3.9317 - val_categorical_accuracy: 0.6396 - 2s/epoch - 7ms/step
Epoch 1032/1500
313/313 - 2s - loss: 0.1955 - categorical_accuracy: 0.9452 - val_loss: 0.3675 - val_categorical_accuracy: 0.9137 - 2s/epoch - 7ms/step
Epoch 1033/1500
313/313 - 2s - loss: 0.0889 - categorical_accuracy: 0.9691 - val_loss: 0.3390 - val_categorical_accuracy: 0.9256 - 2s/epoch - 7ms/step
Epoch 1034/1500
313/313 - 2s - loss: 0.0845 - categorical_accuracy: 0.9702 - val_loss: 0.4764 - val_categorical_accuracy: 0.8907 - 2s/epoch - 7ms/step
Epoch 1035/1500
313/313 - 2s - loss: 0.0856 - categorical_accuracy: 0.9700 - val_loss: 0.4282 - val_categorical_accuracy: 0.9064 - 2s/epoch - 7ms/step
Epoch 1036/1500
313/313 - 2s - loss: 0.0853 - categorical_accuracy: 0.9704 - val_loss: 0.4953 - val_categorical_accuracy: 0.8945 - 2s/epoch - 8ms/step
Epoch 1037/1500
313/313 - 2s - loss: 0.0850 - categorical_accuracy: 0.9703 - val_loss: 0.5139 - val_categorical_accuracy: 0.8919 - 2s/epoch - 7ms/step
Epoch 1038/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9681 - val_loss: 0.6606 - val_categorical_accuracy: 0.8711 - 2s/epoch - 7ms/step
Epoch 1039/1500
313/313 - 2s - loss: 0.0892 - categorical_accuracy: 0.9690 - val_loss: 0.3948 - val_categorical_accuracy: 0.9150 - 2s/epoch - 7ms/step
Epoch 1040/1500
313/313 - 2s - loss: 0.0875 - categorical_accuracy: 0.9695 - val_loss: 0.6230 - val_categorical_accuracy: 0.8867 - 2s/epoch - 7ms/step
Epoch 1041/1500
313/313 - 2s - loss: 0.0893 - categorical_accuracy: 0.9690 - val_loss: 0.7805 - val_categorical_accuracy: 0.8387 - 2s/epoch - 7ms/step
Epoch 1042/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9678 - val_loss: 0.6766 - val_categorical_accuracy: 0.8669 - 2s/epoch - 7ms/step
Epoch 1043/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9673 - val_loss: 0.5431 - val_categorical_accuracy: 0.8831 - 2s/epoch - 7ms/step
Epoch 1044/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9695 - val_loss: 1.1899 - val_categorical_accuracy: 0.7834 - 2s/epoch - 7ms/step
Epoch 1045/1500
313/313 - 2s - loss: 0.1023 - categorical_accuracy: 0.9654 - val_loss: 0.4417 - val_categorical_accuracy: 0.9028 - 2s/epoch - 7ms/step
Epoch 1046/1500
313/313 - 2s - loss: 0.0905 - categorical_accuracy: 0.9687 - val_loss: 0.5294 - val_categorical_accuracy: 0.8900 - 2s/epoch - 7ms/step
Epoch 1047/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9691 - val_loss: 4.2395 - val_categorical_accuracy: 0.6108 - 2s/epoch - 7ms/step
Epoch 1048/1500
313/313 - 2s - loss: 0.1707 - categorical_accuracy: 0.9503 - val_loss: 0.5643 - val_categorical_accuracy: 0.8909 - 2s/epoch - 7ms/step
Epoch 1049/1500
313/313 - 2s - loss: 0.0930 - categorical_accuracy: 0.9674 - val_loss: 0.3614 - val_categorical_accuracy: 0.9227 - 2s/epoch - 7ms/step
Epoch 1050/1500
313/313 - 2s - loss: 0.0841 - categorical_accuracy: 0.9710 - val_loss: 1.1735 - val_categorical_accuracy: 0.7833 - 2s/epoch - 7ms/step
Epoch 1051/1500
313/313 - 2s - loss: 0.1051 - categorical_accuracy: 0.9658 - val_loss: 0.5472 - val_categorical_accuracy: 0.8845 - 2s/epoch - 7ms/step
Epoch 1052/1500
313/313 - 2s - loss: 0.0929 - categorical_accuracy: 0.9677 - val_loss: 0.6783 - val_categorical_accuracy: 0.8666 - 2s/epoch - 7ms/step
Epoch 1053/1500
313/313 - 2s - loss: 0.0894 - categorical_accuracy: 0.9687 - val_loss: 0.7567 - val_categorical_accuracy: 0.8359 - 2s/epoch - 7ms/step
Epoch 1054/1500
313/313 - 2s - loss: 0.0904 - categorical_accuracy: 0.9689 - val_loss: 0.9835 - val_categorical_accuracy: 0.8210 - 2s/epoch - 7ms/step
Epoch 1055/1500
313/313 - 2s - loss: 0.0975 - categorical_accuracy: 0.9670 - val_loss: 0.6959 - val_categorical_accuracy: 0.8840 - 2s/epoch - 8ms/step
Epoch 1056/1500
313/313 - 2s - loss: 0.0920 - categorical_accuracy: 0.9679 - val_loss: 0.4711 - val_categorical_accuracy: 0.9052 - 2s/epoch - 7ms/step
Epoch 1057/1500
313/313 - 2s - loss: 0.0906 - categorical_accuracy: 0.9684 - val_loss: 0.8486 - val_categorical_accuracy: 0.8354 - 2s/epoch - 7ms/step
Epoch 1058/1500
313/313 - 2s - loss: 0.0948 - categorical_accuracy: 0.9668 - val_loss: 0.3445 - val_categorical_accuracy: 0.9248 - 2s/epoch - 7ms/step
Epoch 1059/1500
313/313 - 2s - loss: 0.0830 - categorical_accuracy: 0.9708 - val_loss: 0.5890 - val_categorical_accuracy: 0.8945 - 2s/epoch - 7ms/step
Epoch 1060/1500
313/313 - 2s - loss: 0.0912 - categorical_accuracy: 0.9686 - val_loss: 0.4751 - val_categorical_accuracy: 0.9112 - 2s/epoch - 7ms/step
Epoch 1061/1500
313/313 - 2s - loss: 0.0891 - categorical_accuracy: 0.9691 - val_loss: 0.7449 - val_categorical_accuracy: 0.8523 - 2s/epoch - 7ms/step
Epoch 1062/1500
313/313 - 2s - loss: 0.0920 - categorical_accuracy: 0.9686 - val_loss: 0.4180 - val_categorical_accuracy: 0.9154 - 2s/epoch - 8ms/step
Epoch 1063/1500
313/313 - 2s - loss: 0.0860 - categorical_accuracy: 0.9700 - val_loss: 0.8015 - val_categorical_accuracy: 0.8662 - 2s/epoch - 7ms/step
Epoch 1064/1500
313/313 - 2s - loss: 0.1014 - categorical_accuracy: 0.9652 - val_loss: 0.8735 - val_categorical_accuracy: 0.8492 - 2s/epoch - 7ms/step
Epoch 1065/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9672 - val_loss: 0.8195 - val_categorical_accuracy: 0.8556 - 2s/epoch - 7ms/step
Epoch 1066/1500
313/313 - 2s - loss: 0.0963 - categorical_accuracy: 0.9669 - val_loss: 0.3697 - val_categorical_accuracy: 0.9258 - 2s/epoch - 7ms/step
Epoch 1067/1500
313/313 - 2s - loss: 0.0855 - categorical_accuracy: 0.9698 - val_loss: 0.3670 - val_categorical_accuracy: 0.9221 - 2s/epoch - 7ms/step
Epoch 1068/1500
313/313 - 2s - loss: 0.0839 - categorical_accuracy: 0.9705 - val_loss: 0.5579 - val_categorical_accuracy: 0.8920 - 2s/epoch - 7ms/step
Epoch 1069/1500
313/313 - 2s - loss: 0.0886 - categorical_accuracy: 0.9687 - val_loss: 0.3650 - val_categorical_accuracy: 0.9199 - 2s/epoch - 7ms/step
Epoch 1070/1500
313/313 - 2s - loss: 0.0829 - categorical_accuracy: 0.9709 - val_loss: 0.7211 - val_categorical_accuracy: 0.8656 - 2s/epoch - 7ms/step
Epoch 1071/1500
313/313 - 2s - loss: 0.0927 - categorical_accuracy: 0.9677 - val_loss: 0.4749 - val_categorical_accuracy: 0.9059 - 2s/epoch - 7ms/step
Epoch 1072/1500
313/313 - 2s - loss: 0.0862 - categorical_accuracy: 0.9704 - val_loss: 0.4520 - val_categorical_accuracy: 0.8996 - 2s/epoch - 7ms/step
Epoch 1073/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9698 - val_loss: 0.4977 - val_categorical_accuracy: 0.9048 - 2s/epoch - 7ms/step
Epoch 1074/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9686 - val_loss: 0.3893 - val_categorical_accuracy: 0.9194 - 2s/epoch - 7ms/step
Epoch 1075/1500
313/313 - 2s - loss: 0.0871 - categorical_accuracy: 0.9694 - val_loss: 0.4339 - val_categorical_accuracy: 0.9145 - 2s/epoch - 7ms/step
Epoch 1076/1500
313/313 - 2s - loss: 0.0884 - categorical_accuracy: 0.9694 - val_loss: 0.8013 - val_categorical_accuracy: 0.8480 - 2s/epoch - 7ms/step
Epoch 1077/1500
313/313 - 2s - loss: 0.0979 - categorical_accuracy: 0.9667 - val_loss: 0.5336 - val_categorical_accuracy: 0.8943 - 2s/epoch - 7ms/step
Epoch 1078/1500
313/313 - 2s - loss: 0.0885 - categorical_accuracy: 0.9695 - val_loss: 0.9117 - val_categorical_accuracy: 0.8222 - 2s/epoch - 7ms/step
Epoch 1079/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9680 - val_loss: 1.1044 - val_categorical_accuracy: 0.8254 - 2s/epoch - 7ms/step
Epoch 1080/1500
313/313 - 2s - loss: 0.0934 - categorical_accuracy: 0.9678 - val_loss: 0.9389 - val_categorical_accuracy: 0.8388 - 2s/epoch - 7ms/step
Epoch 1081/1500
313/313 - 2s - loss: 0.1103 - categorical_accuracy: 0.9632 - val_loss: 0.4514 - val_categorical_accuracy: 0.8911 - 2s/epoch - 7ms/step
Epoch 1082/1500
313/313 - 2s - loss: 0.0879 - categorical_accuracy: 0.9692 - val_loss: 0.3703 - val_categorical_accuracy: 0.9170 - 2s/epoch - 7ms/step
Epoch 1083/1500
313/313 - 2s - loss: 0.0897 - categorical_accuracy: 0.9686 - val_loss: 0.6123 - val_categorical_accuracy: 0.8986 - 2s/epoch - 7ms/step
Epoch 1084/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9694 - val_loss: 0.8422 - val_categorical_accuracy: 0.8327 - 2s/epoch - 8ms/step
Epoch 1085/1500
313/313 - 2s - loss: 0.0966 - categorical_accuracy: 0.9665 - val_loss: 0.3587 - val_categorical_accuracy: 0.9263 - 2s/epoch - 7ms/step
Epoch 1086/1500
313/313 - 2s - loss: 0.0851 - categorical_accuracy: 0.9699 - val_loss: 1.0209 - val_categorical_accuracy: 0.8117 - 2s/epoch - 7ms/step
Epoch 1087/1500
313/313 - 2s - loss: 0.1035 - categorical_accuracy: 0.9656 - val_loss: 0.4242 - val_categorical_accuracy: 0.9180 - 2s/epoch - 8ms/step
Epoch 1088/1500
313/313 - 2s - loss: 0.0891 - categorical_accuracy: 0.9691 - val_loss: 0.4272 - val_categorical_accuracy: 0.9190 - 2s/epoch - 8ms/step
Epoch 1089/1500
313/313 - 2s - loss: 0.0854 - categorical_accuracy: 0.9702 - val_loss: 1.2909 - val_categorical_accuracy: 0.8046 - 2s/epoch - 7ms/step
Epoch 1090/1500
313/313 - 2s - loss: 0.1228 - categorical_accuracy: 0.9618 - val_loss: 2.8730 - val_categorical_accuracy: 0.6164 - 2s/epoch - 7ms/step
Epoch 1091/1500
313/313 - 2s - loss: 0.1576 - categorical_accuracy: 0.9543 - val_loss: 0.5790 - val_categorical_accuracy: 0.8852 - 2s/epoch - 7ms/step
Epoch 1092/1500
313/313 - 2s - loss: 0.0878 - categorical_accuracy: 0.9698 - val_loss: 0.7305 - val_categorical_accuracy: 0.8401 - 2s/epoch - 7ms/step
Epoch 1093/1500
313/313 - 2s - loss: 0.0903 - categorical_accuracy: 0.9684 - val_loss: 0.3762 - val_categorical_accuracy: 0.9219 - 2s/epoch - 7ms/step
Epoch 1094/1500
313/313 - 2s - loss: 0.0824 - categorical_accuracy: 0.9715 - val_loss: 0.7161 - val_categorical_accuracy: 0.8702 - 2s/epoch - 7ms/step
Epoch 1095/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9689 - val_loss: 2.0651 - val_categorical_accuracy: 0.7137 - 2s/epoch - 7ms/step
Epoch 1096/1500
313/313 - 2s - loss: 0.1403 - categorical_accuracy: 0.9581 - val_loss: 0.3574 - val_categorical_accuracy: 0.9187 - 2s/epoch - 7ms/step
Epoch 1097/1500
313/313 - 2s - loss: 0.0845 - categorical_accuracy: 0.9705 - val_loss: 0.3504 - val_categorical_accuracy: 0.9250 - 2s/epoch - 7ms/step
Epoch 1098/1500
313/313 - 2s - loss: 0.0855 - categorical_accuracy: 0.9697 - val_loss: 0.3392 - val_categorical_accuracy: 0.9296 - 2s/epoch - 7ms/step
Epoch 1099/1500
313/313 - 2s - loss: 0.0863 - categorical_accuracy: 0.9701 - val_loss: 0.3419 - val_categorical_accuracy: 0.9278 - 2s/epoch - 7ms/step
Epoch 1100/1500
313/313 - 2s - loss: 0.0821 - categorical_accuracy: 0.9714 - val_loss: 0.3530 - val_categorical_accuracy: 0.9291 - 2s/epoch - 7ms/step
Epoch 1101/1500
313/313 - 2s - loss: 0.0856 - categorical_accuracy: 0.9702 - val_loss: 0.3484 - val_categorical_accuracy: 0.9311 - 2s/epoch - 7ms/step
Epoch 1102/1500
313/313 - 2s - loss: 0.0844 - categorical_accuracy: 0.9706 - val_loss: 0.5102 - val_categorical_accuracy: 0.8850 - 2s/epoch - 7ms/step
Epoch 1103/1500
313/313 - 2s - loss: 0.0901 - categorical_accuracy: 0.9685 - val_loss: 0.5030 - val_categorical_accuracy: 0.9019 - 2s/epoch - 7ms/step
Epoch 1104/1500
313/313 - 2s - loss: 0.0865 - categorical_accuracy: 0.9696 - val_loss: 0.5268 - val_categorical_accuracy: 0.8916 - 2s/epoch - 7ms/step
Epoch 1105/1500
313/313 - 2s - loss: 0.0887 - categorical_accuracy: 0.9693 - val_loss: 0.3833 - val_categorical_accuracy: 0.9208 - 2s/epoch - 7ms/step
Epoch 1106/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9699 - val_loss: 0.6240 - val_categorical_accuracy: 0.8725 - 2s/epoch - 7ms/step
Epoch 1107/1500
313/313 - 2s - loss: 0.0886 - categorical_accuracy: 0.9689 - val_loss: 0.3891 - val_categorical_accuracy: 0.9235 - 2s/epoch - 7ms/step
Epoch 1108/1500
313/313 - 2s - loss: 0.0862 - categorical_accuracy: 0.9700 - val_loss: 0.6761 - val_categorical_accuracy: 0.8612 - 2s/epoch - 7ms/step
Epoch 1109/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9680 - val_loss: 0.3359 - val_categorical_accuracy: 0.9322 - 2s/epoch - 7ms/step
Epoch 1110/1500
313/313 - 2s - loss: 0.0840 - categorical_accuracy: 0.9707 - val_loss: 0.7531 - val_categorical_accuracy: 0.8580 - 2s/epoch - 7ms/step
Epoch 1111/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9666 - val_loss: 0.3880 - val_categorical_accuracy: 0.9210 - 2s/epoch - 7ms/step
Epoch 1112/1500
313/313 - 2s - loss: 0.0880 - categorical_accuracy: 0.9689 - val_loss: 0.5785 - val_categorical_accuracy: 0.8803 - 2s/epoch - 7ms/step
Epoch 1113/1500
313/313 - 2s - loss: 0.0930 - categorical_accuracy: 0.9679 - val_loss: 0.3683 - val_categorical_accuracy: 0.9246 - 2s/epoch - 7ms/step
Epoch 1114/1500
313/313 - 2s - loss: 0.0839 - categorical_accuracy: 0.9703 - val_loss: 0.4669 - val_categorical_accuracy: 0.8946 - 2s/epoch - 8ms/step
Epoch 1115/1500
313/313 - 2s - loss: 0.0873 - categorical_accuracy: 0.9691 - val_loss: 0.3527 - val_categorical_accuracy: 0.9268 - 2s/epoch - 7ms/step
Epoch 1116/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9695 - val_loss: 0.8172 - val_categorical_accuracy: 0.8465 - 2s/epoch - 7ms/step
Epoch 1117/1500
313/313 - 2s - loss: 0.1089 - categorical_accuracy: 0.9641 - val_loss: 0.4659 - val_categorical_accuracy: 0.8925 - 2s/epoch - 7ms/step
Epoch 1118/1500
313/313 - 2s - loss: 0.0870 - categorical_accuracy: 0.9692 - val_loss: 0.3362 - val_categorical_accuracy: 0.9323 - 2s/epoch - 7ms/step
Epoch 1119/1500
313/313 - 2s - loss: 0.0862 - categorical_accuracy: 0.9699 - val_loss: 1.1103 - val_categorical_accuracy: 0.8061 - 2s/epoch - 7ms/step
Epoch 1120/1500
313/313 - 2s - loss: 0.1027 - categorical_accuracy: 0.9662 - val_loss: 0.4370 - val_categorical_accuracy: 0.9073 - 2s/epoch - 7ms/step
Epoch 1121/1500
313/313 - 2s - loss: 0.0865 - categorical_accuracy: 0.9699 - val_loss: 1.3263 - val_categorical_accuracy: 0.8650 - 2s/epoch - 7ms/step
Epoch 1122/1500
313/313 - 2s - loss: 0.1350 - categorical_accuracy: 0.9599 - val_loss: 0.3333 - val_categorical_accuracy: 0.9261 - 2s/epoch - 7ms/step
Epoch 1123/1500
313/313 - 2s - loss: 0.0829 - categorical_accuracy: 0.9710 - val_loss: 1.0452 - val_categorical_accuracy: 0.8322 - 2s/epoch - 7ms/step
Epoch 1124/1500
313/313 - 2s - loss: 0.0995 - categorical_accuracy: 0.9659 - val_loss: 0.5242 - val_categorical_accuracy: 0.8916 - 2s/epoch - 7ms/step
Epoch 1125/1500
313/313 - 2s - loss: 0.0922 - categorical_accuracy: 0.9681 - val_loss: 0.3579 - val_categorical_accuracy: 0.9217 - 2s/epoch - 7ms/step
Epoch 1126/1500
313/313 - 2s - loss: 0.0824 - categorical_accuracy: 0.9709 - val_loss: 0.5898 - val_categorical_accuracy: 0.8721 - 2s/epoch - 7ms/step
Epoch 1127/1500
313/313 - 2s - loss: 0.0873 - categorical_accuracy: 0.9698 - val_loss: 0.6074 - val_categorical_accuracy: 0.8806 - 2s/epoch - 7ms/step
Epoch 1128/1500
313/313 - 2s - loss: 0.0935 - categorical_accuracy: 0.9677 - val_loss: 0.3366 - val_categorical_accuracy: 0.9327 - 2s/epoch - 7ms/step
Epoch 1129/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9706 - val_loss: 0.6793 - val_categorical_accuracy: 0.8747 - 2s/epoch - 7ms/step
Epoch 1130/1500
313/313 - 2s - loss: 0.0874 - categorical_accuracy: 0.9694 - val_loss: 0.4704 - val_categorical_accuracy: 0.9033 - 2s/epoch - 7ms/step
Epoch 1131/1500
313/313 - 2s - loss: 0.0856 - categorical_accuracy: 0.9701 - val_loss: 0.5118 - val_categorical_accuracy: 0.8965 - 2s/epoch - 7ms/step
Epoch 1132/1500
313/313 - 2s - loss: 0.0872 - categorical_accuracy: 0.9693 - val_loss: 0.7639 - val_categorical_accuracy: 0.8522 - 2s/epoch - 7ms/step
Epoch 1133/1500
313/313 - 3s - loss: 0.0977 - categorical_accuracy: 0.9665 - val_loss: 0.3601 - val_categorical_accuracy: 0.9255 - 3s/epoch - 9ms/step
Epoch 1134/1500
313/313 - 2s - loss: 0.0825 - categorical_accuracy: 0.9715 - val_loss: 0.5706 - val_categorical_accuracy: 0.8798 - 2s/epoch - 8ms/step
Epoch 1135/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9686 - val_loss: 1.2821 - val_categorical_accuracy: 0.8158 - 2s/epoch - 8ms/step
Epoch 1136/1500
313/313 - 2s - loss: 0.1121 - categorical_accuracy: 0.9629 - val_loss: 0.7172 - val_categorical_accuracy: 0.8782 - 2s/epoch - 8ms/step
Epoch 1137/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9678 - val_loss: 0.7319 - val_categorical_accuracy: 0.8583 - 2s/epoch - 8ms/step
Epoch 1138/1500
313/313 - 2s - loss: 0.0959 - categorical_accuracy: 0.9673 - val_loss: 0.4579 - val_categorical_accuracy: 0.9019 - 2s/epoch - 8ms/step
Epoch 1139/1500
313/313 - 2s - loss: 0.0857 - categorical_accuracy: 0.9699 - val_loss: 0.7252 - val_categorical_accuracy: 0.8724 - 2s/epoch - 8ms/step
Epoch 1140/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9678 - val_loss: 0.4589 - val_categorical_accuracy: 0.9067 - 2s/epoch - 8ms/step
Epoch 1141/1500
313/313 - 2s - loss: 0.0854 - categorical_accuracy: 0.9696 - val_loss: 0.3472 - val_categorical_accuracy: 0.9289 - 2s/epoch - 8ms/step
Epoch 1142/1500
313/313 - 2s - loss: 0.0836 - categorical_accuracy: 0.9707 - val_loss: 0.8447 - val_categorical_accuracy: 0.8741 - 2s/epoch - 8ms/step
Epoch 1143/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9685 - val_loss: 0.3596 - val_categorical_accuracy: 0.9286 - 2s/epoch - 8ms/step
Epoch 1144/1500
313/313 - 2s - loss: 0.0869 - categorical_accuracy: 0.9692 - val_loss: 0.5600 - val_categorical_accuracy: 0.8887 - 2s/epoch - 8ms/step
Epoch 1145/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9676 - val_loss: 0.7725 - val_categorical_accuracy: 0.8477 - 2s/epoch - 8ms/step
Epoch 1146/1500
313/313 - 2s - loss: 0.0964 - categorical_accuracy: 0.9669 - val_loss: 0.3788 - val_categorical_accuracy: 0.9152 - 2s/epoch - 8ms/step
Epoch 1147/1500
313/313 - 2s - loss: 0.0827 - categorical_accuracy: 0.9710 - val_loss: 0.3707 - val_categorical_accuracy: 0.9229 - 2s/epoch - 8ms/step
Epoch 1148/1500
313/313 - 2s - loss: 0.0858 - categorical_accuracy: 0.9698 - val_loss: 0.4201 - val_categorical_accuracy: 0.9143 - 2s/epoch - 8ms/step
Epoch 1149/1500
313/313 - 2s - loss: 0.0842 - categorical_accuracy: 0.9703 - val_loss: 2.2128 - val_categorical_accuracy: 0.6851 - 2s/epoch - 8ms/step
Epoch 1150/1500
313/313 - 2s - loss: 0.1292 - categorical_accuracy: 0.9614 - val_loss: 0.3449 - val_categorical_accuracy: 0.9272 - 2s/epoch - 8ms/step
Epoch 1151/1500
313/313 - 2s - loss: 0.0831 - categorical_accuracy: 0.9706 - val_loss: 0.9668 - val_categorical_accuracy: 0.8250 - 2s/epoch - 8ms/step
Epoch 1152/1500
313/313 - 2s - loss: 0.0935 - categorical_accuracy: 0.9680 - val_loss: 0.4634 - val_categorical_accuracy: 0.9056 - 2s/epoch - 8ms/step
Epoch 1153/1500
313/313 - 2s - loss: 0.0868 - categorical_accuracy: 0.9694 - val_loss: 0.3880 - val_categorical_accuracy: 0.9224 - 2s/epoch - 8ms/step
Epoch 1154/1500
313/313 - 2s - loss: 0.0865 - categorical_accuracy: 0.9697 - val_loss: 0.6641 - val_categorical_accuracy: 0.8670 - 2s/epoch - 8ms/step
Epoch 1155/1500
313/313 - 2s - loss: 0.0987 - categorical_accuracy: 0.9670 - val_loss: 0.3946 - val_categorical_accuracy: 0.9189 - 2s/epoch - 8ms/step
Epoch 1156/1500
313/313 - 2s - loss: 0.0844 - categorical_accuracy: 0.9703 - val_loss: 0.3647 - val_categorical_accuracy: 0.9215 - 2s/epoch - 8ms/step
Epoch 1157/1500
313/313 - 2s - loss: 0.0833 - categorical_accuracy: 0.9708 - val_loss: 1.5399 - val_categorical_accuracy: 0.7595 - 2s/epoch - 8ms/step
Epoch 1158/1500
313/313 - 2s - loss: 0.1117 - categorical_accuracy: 0.9637 - val_loss: 0.4118 - val_categorical_accuracy: 0.9109 - 2s/epoch - 8ms/step
Epoch 1159/1500
313/313 - 2s - loss: 0.0840 - categorical_accuracy: 0.9708 - val_loss: 0.3617 - val_categorical_accuracy: 0.9211 - 2s/epoch - 8ms/step
Epoch 1160/1500
313/313 - 2s - loss: 0.0849 - categorical_accuracy: 0.9698 - val_loss: 0.3831 - val_categorical_accuracy: 0.9220 - 2s/epoch - 8ms/step
Epoch 1161/1500
313/313 - 2s - loss: 0.0865 - categorical_accuracy: 0.9698 - val_loss: 0.4288 - val_categorical_accuracy: 0.9124 - 2s/epoch - 8ms/step
Epoch 1162/1500
313/313 - 2s - loss: 0.0862 - categorical_accuracy: 0.9698 - val_loss: 0.3708 - val_categorical_accuracy: 0.9271 - 2s/epoch - 8ms/step
Epoch 1163/1500
313/313 - 2s - loss: 0.0852 - categorical_accuracy: 0.9703 - val_loss: 1.0731 - val_categorical_accuracy: 0.8228 - 2s/epoch - 8ms/step
Epoch 1164/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9674 - val_loss: 0.4187 - val_categorical_accuracy: 0.9201 - 2s/epoch - 8ms/step
Epoch 1165/1500
313/313 - 2s - loss: 0.0859 - categorical_accuracy: 0.9696 - val_loss: 1.1165 - val_categorical_accuracy: 0.8175 - 2s/epoch - 8ms/step
Epoch 1166/1500
313/313 - 2s - loss: 0.0977 - categorical_accuracy: 0.9667 - val_loss: 1.2824 - val_categorical_accuracy: 0.7897 - 2s/epoch - 8ms/step
Epoch 1167/1500
313/313 - 2s - loss: 0.1083 - categorical_accuracy: 0.9647 - val_loss: 0.5826 - val_categorical_accuracy: 0.8836 - 2s/epoch - 8ms/step
Epoch 1168/1500
313/313 - 2s - loss: 0.0864 - categorical_accuracy: 0.9696 - val_loss: 0.3478 - val_categorical_accuracy: 0.9286 - 2s/epoch - 8ms/step
Epoch 1169/1500
313/313 - 2s - loss: 0.0799 - categorical_accuracy: 0.9718 - val_loss: 0.3507 - val_categorical_accuracy: 0.9323 - 2s/epoch - 8ms/step
Epoch 1170/1500
313/313 - 2s - loss: 0.0831 - categorical_accuracy: 0.9704 - val_loss: 0.6942 - val_categorical_accuracy: 0.8703 - 2s/epoch - 7ms/step
Epoch 1171/1500
313/313 - 2s - loss: 0.0956 - categorical_accuracy: 0.9676 - val_loss: 0.4058 - val_categorical_accuracy: 0.9194 - 2s/epoch - 8ms/step
Epoch 1172/1500
313/313 - 2s - loss: 0.0844 - categorical_accuracy: 0.9702 - val_loss: 0.4880 - val_categorical_accuracy: 0.9071 - 2s/epoch - 8ms/step
Epoch 1173/1500
313/313 - 2s - loss: 0.0872 - categorical_accuracy: 0.9696 - val_loss: 0.3530 - val_categorical_accuracy: 0.9295 - 2s/epoch - 8ms/step
Epoch 1174/1500
313/313 - 2s - loss: 0.0838 - categorical_accuracy: 0.9703 - val_loss: 0.3581 - val_categorical_accuracy: 0.9305 - 2s/epoch - 8ms/step
Epoch 1175/1500
313/313 - 2s - loss: 0.0840 - categorical_accuracy: 0.9707 - val_loss: 0.7552 - val_categorical_accuracy: 0.8566 - 2s/epoch - 7ms/step
Epoch 1176/1500
313/313 - 2s - loss: 0.0994 - categorical_accuracy: 0.9658 - val_loss: 1.2839 - val_categorical_accuracy: 0.8131 - 2s/epoch - 8ms/step
Epoch 1177/1500
313/313 - 2s - loss: 0.1208 - categorical_accuracy: 0.9612 - val_loss: 0.4914 - val_categorical_accuracy: 0.8948 - 2s/epoch - 8ms/step
Epoch 1178/1500
313/313 - 2s - loss: 0.0869 - categorical_accuracy: 0.9699 - val_loss: 0.9019 - val_categorical_accuracy: 0.8394 - 2s/epoch - 8ms/step
Epoch 1179/1500
313/313 - 2s - loss: 0.0920 - categorical_accuracy: 0.9685 - val_loss: 0.3516 - val_categorical_accuracy: 0.9278 - 2s/epoch - 8ms/step
Epoch 1180/1500
313/313 - 2s - loss: 0.0812 - categorical_accuracy: 0.9716 - val_loss: 1.4776 - val_categorical_accuracy: 0.7738 - 2s/epoch - 8ms/step
Epoch 1181/1500
313/313 - 2s - loss: 0.1133 - categorical_accuracy: 0.9639 - val_loss: 0.4892 - val_categorical_accuracy: 0.8910 - 2s/epoch - 8ms/step
Epoch 1182/1500
313/313 - 2s - loss: 0.0849 - categorical_accuracy: 0.9701 - val_loss: 3.0161 - val_categorical_accuracy: 0.6635 - 2s/epoch - 8ms/step
Epoch 1183/1500
313/313 - 2s - loss: 0.1904 - categorical_accuracy: 0.9484 - val_loss: 0.3707 - val_categorical_accuracy: 0.9190 - 2s/epoch - 8ms/step
Epoch 1184/1500
313/313 - 2s - loss: 0.0834 - categorical_accuracy: 0.9702 - val_loss: 0.6231 - val_categorical_accuracy: 0.8735 - 2s/epoch - 8ms/step
Epoch 1185/1500
313/313 - 2s - loss: 0.0865 - categorical_accuracy: 0.9703 - val_loss: 0.4873 - val_categorical_accuracy: 0.8941 - 2s/epoch - 8ms/step
Epoch 1186/1500
313/313 - 2s - loss: 0.0843 - categorical_accuracy: 0.9705 - val_loss: 0.3316 - val_categorical_accuracy: 0.9303 - 2s/epoch - 7ms/step
Epoch 1187/1500
313/313 - 2s - loss: 0.0801 - categorical_accuracy: 0.9716 - val_loss: 0.4062 - val_categorical_accuracy: 0.9180 - 2s/epoch - 7ms/step
Epoch 1188/1500
313/313 - 2s - loss: 0.0862 - categorical_accuracy: 0.9698 - val_loss: 0.3720 - val_categorical_accuracy: 0.9263 - 2s/epoch - 7ms/step
Epoch 1189/1500
313/313 - 2s - loss: 0.0804 - categorical_accuracy: 0.9719 - val_loss: 0.4021 - val_categorical_accuracy: 0.9146 - 2s/epoch - 7ms/step
Epoch 1190/1500
313/313 - 2s - loss: 0.0848 - categorical_accuracy: 0.9702 - val_loss: 0.7047 - val_categorical_accuracy: 0.8768 - 2s/epoch - 8ms/step
Epoch 1191/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9685 - val_loss: 0.3821 - val_categorical_accuracy: 0.9241 - 2s/epoch - 7ms/step
Epoch 1192/1500
313/313 - 2s - loss: 0.0856 - categorical_accuracy: 0.9697 - val_loss: 0.3854 - val_categorical_accuracy: 0.9239 - 2s/epoch - 7ms/step
Epoch 1193/1500
313/313 - 2s - loss: 0.0839 - categorical_accuracy: 0.9703 - val_loss: 0.3981 - val_categorical_accuracy: 0.9260 - 2s/epoch - 7ms/step
Epoch 1194/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9701 - val_loss: 0.4578 - val_categorical_accuracy: 0.9026 - 2s/epoch - 7ms/step
Epoch 1195/1500
313/313 - 2s - loss: 0.0912 - categorical_accuracy: 0.9677 - val_loss: 0.3682 - val_categorical_accuracy: 0.9280 - 2s/epoch - 7ms/step
Epoch 1196/1500
313/313 - 2s - loss: 0.0852 - categorical_accuracy: 0.9701 - val_loss: 0.3681 - val_categorical_accuracy: 0.9241 - 2s/epoch - 7ms/step
Epoch 1197/1500
313/313 - 2s - loss: 0.0843 - categorical_accuracy: 0.9706 - val_loss: 0.3632 - val_categorical_accuracy: 0.9294 - 2s/epoch - 7ms/step
Epoch 1198/1500
313/313 - 2s - loss: 0.0852 - categorical_accuracy: 0.9699 - val_loss: 0.4119 - val_categorical_accuracy: 0.9152 - 2s/epoch - 7ms/step
Epoch 1199/1500
313/313 - 2s - loss: 0.0845 - categorical_accuracy: 0.9707 - val_loss: 0.9590 - val_categorical_accuracy: 0.8447 - 2s/epoch - 7ms/step
Epoch 1200/1500
313/313 - 2s - loss: 0.1065 - categorical_accuracy: 0.9649 - val_loss: 0.3631 - val_categorical_accuracy: 0.9262 - 2s/epoch - 7ms/step
Epoch 1201/1500
313/313 - 2s - loss: 0.0816 - categorical_accuracy: 0.9716 - val_loss: 0.5805 - val_categorical_accuracy: 0.9011 - 2s/epoch - 7ms/step
Epoch 1202/1500
313/313 - 2s - loss: 0.0893 - categorical_accuracy: 0.9688 - val_loss: 0.7631 - val_categorical_accuracy: 0.8542 - 2s/epoch - 7ms/step
Epoch 1203/1500
313/313 - 2s - loss: 0.0985 - categorical_accuracy: 0.9670 - val_loss: 0.3855 - val_categorical_accuracy: 0.9230 - 2s/epoch - 7ms/step
Epoch 1204/1500
313/313 - 2s - loss: 0.0830 - categorical_accuracy: 0.9711 - val_loss: 0.4355 - val_categorical_accuracy: 0.9054 - 2s/epoch - 7ms/step
Epoch 1205/1500
313/313 - 2s - loss: 0.0852 - categorical_accuracy: 0.9705 - val_loss: 4.8852 - val_categorical_accuracy: 0.5134 - 2s/epoch - 7ms/step
Epoch 1206/1500
313/313 - 2s - loss: 0.3893 - categorical_accuracy: 0.8965 - val_loss: 0.3876 - val_categorical_accuracy: 0.9031 - 2s/epoch - 7ms/step
Epoch 1207/1500
313/313 - 2s - loss: 0.1069 - categorical_accuracy: 0.9623 - val_loss: 0.8205 - val_categorical_accuracy: 0.8314 - 2s/epoch - 7ms/step
Epoch 1208/1500
313/313 - 2s - loss: 0.0999 - categorical_accuracy: 0.9653 - val_loss: 0.3707 - val_categorical_accuracy: 0.9148 - 2s/epoch - 7ms/step
Epoch 1209/1500
313/313 - 2s - loss: 0.0894 - categorical_accuracy: 0.9686 - val_loss: 0.7632 - val_categorical_accuracy: 0.8618 - 2s/epoch - 7ms/step
Epoch 1210/1500
313/313 - 2s - loss: 0.0897 - categorical_accuracy: 0.9683 - val_loss: 0.3343 - val_categorical_accuracy: 0.9310 - 2s/epoch - 7ms/step
Epoch 1211/1500
313/313 - 2s - loss: 0.0837 - categorical_accuracy: 0.9708 - val_loss: 0.4159 - val_categorical_accuracy: 0.9126 - 2s/epoch - 7ms/step
Epoch 1212/1500
313/313 - 2s - loss: 0.0827 - categorical_accuracy: 0.9711 - val_loss: 0.3447 - val_categorical_accuracy: 0.9314 - 2s/epoch - 7ms/step
Epoch 1213/1500
313/313 - 2s - loss: 0.0827 - categorical_accuracy: 0.9709 - val_loss: 1.3178 - val_categorical_accuracy: 0.7780 - 2s/epoch - 7ms/step
Epoch 1214/1500
313/313 - 2s - loss: 0.1097 - categorical_accuracy: 0.9646 - val_loss: 1.0102 - val_categorical_accuracy: 0.8430 - 2s/epoch - 7ms/step
Epoch 1215/1500
313/313 - 2s - loss: 0.0941 - categorical_accuracy: 0.9675 - val_loss: 0.5037 - val_categorical_accuracy: 0.8989 - 2s/epoch - 7ms/step
Epoch 1216/1500
313/313 - 2s - loss: 0.0864 - categorical_accuracy: 0.9695 - val_loss: 0.4263 - val_categorical_accuracy: 0.9122 - 2s/epoch - 7ms/step
Epoch 1217/1500
313/313 - 2s - loss: 0.0824 - categorical_accuracy: 0.9708 - val_loss: 0.3653 - val_categorical_accuracy: 0.9248 - 2s/epoch - 8ms/step
Epoch 1218/1500
313/313 - 2s - loss: 0.0833 - categorical_accuracy: 0.9710 - val_loss: 0.5782 - val_categorical_accuracy: 0.8691 - 2s/epoch - 7ms/step
Epoch 1219/1500
313/313 - 2s - loss: 0.0871 - categorical_accuracy: 0.9694 - val_loss: 0.4576 - val_categorical_accuracy: 0.9102 - 2s/epoch - 7ms/step
Epoch 1220/1500
313/313 - 2s - loss: 0.0847 - categorical_accuracy: 0.9703 - val_loss: 0.3533 - val_categorical_accuracy: 0.9289 - 2s/epoch - 7ms/step
Epoch 1221/1500
313/313 - 2s - loss: 0.0856 - categorical_accuracy: 0.9702 - val_loss: 0.4322 - val_categorical_accuracy: 0.9114 - 2s/epoch - 7ms/step
Epoch 1222/1500
313/313 - 2s - loss: 0.0811 - categorical_accuracy: 0.9718 - val_loss: 0.5139 - val_categorical_accuracy: 0.8892 - 2s/epoch - 7ms/step
Epoch 1223/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9701 - val_loss: 0.3504 - val_categorical_accuracy: 0.9301 - 2s/epoch - 7ms/step
Epoch 1224/1500
313/313 - 2s - loss: 0.0827 - categorical_accuracy: 0.9711 - val_loss: 0.4042 - val_categorical_accuracy: 0.9145 - 2s/epoch - 7ms/step
Epoch 1225/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9704 - val_loss: 0.4102 - val_categorical_accuracy: 0.9195 - 2s/epoch - 7ms/step
Epoch 1226/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9703 - val_loss: 0.5016 - val_categorical_accuracy: 0.9026 - 2s/epoch - 7ms/step
Epoch 1227/1500
313/313 - 2s - loss: 0.0881 - categorical_accuracy: 0.9694 - val_loss: 0.5859 - val_categorical_accuracy: 0.8857 - 2s/epoch - 7ms/step
Epoch 1228/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9693 - val_loss: 0.9402 - val_categorical_accuracy: 0.8507 - 2s/epoch - 7ms/step
Epoch 1229/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9682 - val_loss: 0.4911 - val_categorical_accuracy: 0.9019 - 2s/epoch - 7ms/step
Epoch 1230/1500
313/313 - 2s - loss: 0.0907 - categorical_accuracy: 0.9680 - val_loss: 0.5369 - val_categorical_accuracy: 0.8954 - 2s/epoch - 7ms/step
Epoch 1231/1500
313/313 - 2s - loss: 0.0878 - categorical_accuracy: 0.9698 - val_loss: 0.3384 - val_categorical_accuracy: 0.9335 - 2s/epoch - 7ms/step
Epoch 1232/1500
313/313 - 2s - loss: 0.0812 - categorical_accuracy: 0.9719 - val_loss: 0.5199 - val_categorical_accuracy: 0.8974 - 2s/epoch - 7ms/step
Epoch 1233/1500
313/313 - 2s - loss: 0.0841 - categorical_accuracy: 0.9706 - val_loss: 0.6290 - val_categorical_accuracy: 0.8638 - 2s/epoch - 7ms/step
Epoch 1234/1500
313/313 - 2s - loss: 0.0886 - categorical_accuracy: 0.9688 - val_loss: 0.6210 - val_categorical_accuracy: 0.8790 - 2s/epoch - 7ms/step
Epoch 1235/1500
313/313 - 2s - loss: 0.0888 - categorical_accuracy: 0.9695 - val_loss: 0.3864 - val_categorical_accuracy: 0.9237 - 2s/epoch - 7ms/step
Epoch 1236/1500
313/313 - 2s - loss: 0.0831 - categorical_accuracy: 0.9709 - val_loss: 0.4819 - val_categorical_accuracy: 0.8974 - 2s/epoch - 7ms/step
Epoch 1237/1500
313/313 - 2s - loss: 0.0837 - categorical_accuracy: 0.9707 - val_loss: 0.3586 - val_categorical_accuracy: 0.9296 - 2s/epoch - 7ms/step
Epoch 1238/1500
313/313 - 2s - loss: 0.0820 - categorical_accuracy: 0.9713 - val_loss: 0.4534 - val_categorical_accuracy: 0.9089 - 2s/epoch - 7ms/step
Epoch 1239/1500
313/313 - 2s - loss: 0.0813 - categorical_accuracy: 0.9716 - val_loss: 0.4038 - val_categorical_accuracy: 0.9181 - 2s/epoch - 7ms/step
Epoch 1240/1500
313/313 - 2s - loss: 0.0849 - categorical_accuracy: 0.9705 - val_loss: 0.3775 - val_categorical_accuracy: 0.9243 - 2s/epoch - 7ms/step
Epoch 1241/1500
313/313 - 2s - loss: 0.0832 - categorical_accuracy: 0.9713 - val_loss: 1.8028 - val_categorical_accuracy: 0.7319 - 2s/epoch - 7ms/step
Epoch 1242/1500
313/313 - 2s - loss: 0.1138 - categorical_accuracy: 0.9641 - val_loss: 2.8456 - val_categorical_accuracy: 0.6352 - 2s/epoch - 7ms/step
Epoch 1243/1500
313/313 - 2s - loss: 0.1629 - categorical_accuracy: 0.9534 - val_loss: 0.3269 - val_categorical_accuracy: 0.9305 - 2s/epoch - 7ms/step
Epoch 1244/1500
313/313 - 2s - loss: 0.0816 - categorical_accuracy: 0.9709 - val_loss: 0.4367 - val_categorical_accuracy: 0.9092 - 2s/epoch - 8ms/step
Epoch 1245/1500
313/313 - 2s - loss: 0.0811 - categorical_accuracy: 0.9718 - val_loss: 0.3467 - val_categorical_accuracy: 0.9300 - 2s/epoch - 7ms/step
Epoch 1246/1500
313/313 - 2s - loss: 0.0786 - categorical_accuracy: 0.9724 - val_loss: 1.1511 - val_categorical_accuracy: 0.8091 - 2s/epoch - 7ms/step
Epoch 1247/1500
313/313 - 2s - loss: 0.1022 - categorical_accuracy: 0.9654 - val_loss: 0.7237 - val_categorical_accuracy: 0.8711 - 2s/epoch - 7ms/step
Epoch 1248/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9674 - val_loss: 0.6363 - val_categorical_accuracy: 0.8638 - 2s/epoch - 7ms/step
Epoch 1249/1500
313/313 - 2s - loss: 0.0863 - categorical_accuracy: 0.9699 - val_loss: 0.5706 - val_categorical_accuracy: 0.8926 - 2s/epoch - 7ms/step
Epoch 1250/1500
313/313 - 2s - loss: 0.0841 - categorical_accuracy: 0.9709 - val_loss: 0.4319 - val_categorical_accuracy: 0.9129 - 2s/epoch - 7ms/step
Epoch 1251/1500
313/313 - 2s - loss: 0.0803 - categorical_accuracy: 0.9718 - val_loss: 0.4066 - val_categorical_accuracy: 0.9218 - 2s/epoch - 7ms/step
Epoch 1252/1500
313/313 - 2s - loss: 0.0841 - categorical_accuracy: 0.9712 - val_loss: 0.3538 - val_categorical_accuracy: 0.9299 - 2s/epoch - 7ms/step
Epoch 1253/1500
313/313 - 2s - loss: 0.0838 - categorical_accuracy: 0.9702 - val_loss: 0.5885 - val_categorical_accuracy: 0.8895 - 2s/epoch - 7ms/step
Epoch 1254/1500
313/313 - 2s - loss: 0.0900 - categorical_accuracy: 0.9688 - val_loss: 1.6181 - val_categorical_accuracy: 0.7578 - 2s/epoch - 7ms/step
Epoch 1255/1500
313/313 - 2s - loss: 0.1301 - categorical_accuracy: 0.9605 - val_loss: 0.5674 - val_categorical_accuracy: 0.8890 - 2s/epoch - 7ms/step
Epoch 1256/1500
313/313 - 2s - loss: 0.0859 - categorical_accuracy: 0.9700 - val_loss: 0.4462 - val_categorical_accuracy: 0.9028 - 2s/epoch - 7ms/step
Epoch 1257/1500
313/313 - 2s - loss: 0.0812 - categorical_accuracy: 0.9717 - val_loss: 0.5301 - val_categorical_accuracy: 0.9016 - 2s/epoch - 7ms/step
Epoch 1258/1500
313/313 - 2s - loss: 0.0825 - categorical_accuracy: 0.9715 - val_loss: 0.3749 - val_categorical_accuracy: 0.9275 - 2s/epoch - 7ms/step
Epoch 1259/1500
313/313 - 2s - loss: 0.0828 - categorical_accuracy: 0.9713 - val_loss: 0.3620 - val_categorical_accuracy: 0.9274 - 2s/epoch - 7ms/step
Epoch 1260/1500
313/313 - 2s - loss: 0.0822 - categorical_accuracy: 0.9712 - val_loss: 0.5137 - val_categorical_accuracy: 0.8967 - 2s/epoch - 7ms/step
Epoch 1261/1500
313/313 - 2s - loss: 0.0851 - categorical_accuracy: 0.9705 - val_loss: 0.8638 - val_categorical_accuracy: 0.8478 - 2s/epoch - 7ms/step
Epoch 1262/1500
313/313 - 2s - loss: 0.0912 - categorical_accuracy: 0.9689 - val_loss: 0.4887 - val_categorical_accuracy: 0.9030 - 2s/epoch - 7ms/step
Epoch 1263/1500
313/313 - 2s - loss: 0.0860 - categorical_accuracy: 0.9700 - val_loss: 0.3917 - val_categorical_accuracy: 0.9153 - 2s/epoch - 7ms/step
Epoch 1264/1500
313/313 - 2s - loss: 0.0832 - categorical_accuracy: 0.9713 - val_loss: 0.7855 - val_categorical_accuracy: 0.8543 - 2s/epoch - 7ms/step
Epoch 1265/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9693 - val_loss: 0.4034 - val_categorical_accuracy: 0.9241 - 2s/epoch - 7ms/step
Epoch 1266/1500
313/313 - 2s - loss: 0.0813 - categorical_accuracy: 0.9717 - val_loss: 0.4044 - val_categorical_accuracy: 0.9249 - 2s/epoch - 7ms/step
Epoch 1267/1500
313/313 - 2s - loss: 0.0826 - categorical_accuracy: 0.9713 - val_loss: 0.3938 - val_categorical_accuracy: 0.9221 - 2s/epoch - 7ms/step
Epoch 1268/1500
313/313 - 2s - loss: 0.0831 - categorical_accuracy: 0.9706 - val_loss: 0.3754 - val_categorical_accuracy: 0.9266 - 2s/epoch - 7ms/step
Epoch 1269/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9704 - val_loss: 0.4025 - val_categorical_accuracy: 0.9115 - 2s/epoch - 7ms/step
Epoch 1270/1500
313/313 - 2s - loss: 0.0847 - categorical_accuracy: 0.9705 - val_loss: 0.4921 - val_categorical_accuracy: 0.9056 - 2s/epoch - 7ms/step
Epoch 1271/1500
313/313 - 2s - loss: 0.0876 - categorical_accuracy: 0.9697 - val_loss: 0.4868 - val_categorical_accuracy: 0.8994 - 2s/epoch - 7ms/step
Epoch 1272/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9692 - val_loss: 0.4722 - val_categorical_accuracy: 0.9061 - 2s/epoch - 7ms/step
Epoch 1273/1500
313/313 - 2s - loss: 0.0839 - categorical_accuracy: 0.9704 - val_loss: 0.8105 - val_categorical_accuracy: 0.8436 - 2s/epoch - 7ms/step
Epoch 1274/1500
313/313 - 2s - loss: 0.0926 - categorical_accuracy: 0.9684 - val_loss: 0.4659 - val_categorical_accuracy: 0.9035 - 2s/epoch - 7ms/step
Epoch 1275/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9700 - val_loss: 2.3299 - val_categorical_accuracy: 0.7409 - 2s/epoch - 7ms/step
Epoch 1276/1500
313/313 - 2s - loss: 0.1412 - categorical_accuracy: 0.9581 - val_loss: 0.3967 - val_categorical_accuracy: 0.9174 - 2s/epoch - 7ms/step
Epoch 1277/1500
313/313 - 2s - loss: 0.0847 - categorical_accuracy: 0.9704 - val_loss: 0.3604 - val_categorical_accuracy: 0.9279 - 2s/epoch - 7ms/step
Epoch 1278/1500
313/313 - 2s - loss: 0.0828 - categorical_accuracy: 0.9708 - val_loss: 0.6078 - val_categorical_accuracy: 0.8865 - 2s/epoch - 7ms/step
Epoch 1279/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9693 - val_loss: 0.8087 - val_categorical_accuracy: 0.8445 - 2s/epoch - 7ms/step
Epoch 1280/1500
313/313 - 2s - loss: 0.0940 - categorical_accuracy: 0.9679 - val_loss: 0.3887 - val_categorical_accuracy: 0.9205 - 2s/epoch - 7ms/step
Epoch 1281/1500
313/313 - 2s - loss: 0.0830 - categorical_accuracy: 0.9711 - val_loss: 0.5179 - val_categorical_accuracy: 0.8910 - 2s/epoch - 7ms/step
Epoch 1282/1500
313/313 - 2s - loss: 0.0886 - categorical_accuracy: 0.9690 - val_loss: 1.2772 - val_categorical_accuracy: 0.7908 - 2s/epoch - 7ms/step
Epoch 1283/1500
313/313 - 2s - loss: 0.1000 - categorical_accuracy: 0.9665 - val_loss: 0.3881 - val_categorical_accuracy: 0.9254 - 2s/epoch - 7ms/step
Epoch 1284/1500
313/313 - 2s - loss: 0.0829 - categorical_accuracy: 0.9708 - val_loss: 0.4742 - val_categorical_accuracy: 0.9026 - 2s/epoch - 7ms/step
Epoch 1285/1500
313/313 - 2s - loss: 0.0841 - categorical_accuracy: 0.9707 - val_loss: 0.4760 - val_categorical_accuracy: 0.9120 - 2s/epoch - 7ms/step
Epoch 1286/1500
313/313 - 2s - loss: 0.0871 - categorical_accuracy: 0.9696 - val_loss: 1.6264 - val_categorical_accuracy: 0.7814 - 2s/epoch - 7ms/step
Epoch 1287/1500
313/313 - 2s - loss: 0.1085 - categorical_accuracy: 0.9641 - val_loss: 1.2608 - val_categorical_accuracy: 0.8010 - 2s/epoch - 7ms/step
Epoch 1288/1500
313/313 - 2s - loss: 0.1096 - categorical_accuracy: 0.9637 - val_loss: 1.0018 - val_categorical_accuracy: 0.8370 - 2s/epoch - 7ms/step
Epoch 1289/1500
313/313 - 2s - loss: 0.1017 - categorical_accuracy: 0.9653 - val_loss: 0.4716 - val_categorical_accuracy: 0.8939 - 2s/epoch - 7ms/step
Epoch 1290/1500
313/313 - 2s - loss: 0.0815 - categorical_accuracy: 0.9714 - val_loss: 0.3854 - val_categorical_accuracy: 0.9248 - 2s/epoch - 7ms/step
Epoch 1291/1500
313/313 - 2s - loss: 0.0851 - categorical_accuracy: 0.9703 - val_loss: 0.4329 - val_categorical_accuracy: 0.9146 - 2s/epoch - 7ms/step
Epoch 1292/1500
313/313 - 2s - loss: 0.0812 - categorical_accuracy: 0.9716 - val_loss: 0.6069 - val_categorical_accuracy: 0.8880 - 2s/epoch - 7ms/step
Epoch 1293/1500
313/313 - 2s - loss: 0.0832 - categorical_accuracy: 0.9708 - val_loss: 0.3667 - val_categorical_accuracy: 0.9204 - 2s/epoch - 7ms/step
Epoch 1294/1500
313/313 - 2s - loss: 0.0824 - categorical_accuracy: 0.9713 - val_loss: 0.3748 - val_categorical_accuracy: 0.9263 - 2s/epoch - 7ms/step
Epoch 1295/1500
313/313 - 2s - loss: 0.0827 - categorical_accuracy: 0.9714 - val_loss: 0.3925 - val_categorical_accuracy: 0.9193 - 2s/epoch - 7ms/step
Epoch 1296/1500
313/313 - 2s - loss: 0.0832 - categorical_accuracy: 0.9704 - val_loss: 0.7524 - val_categorical_accuracy: 0.8717 - 2s/epoch - 7ms/step
Epoch 1297/1500
313/313 - 2s - loss: 0.0912 - categorical_accuracy: 0.9683 - val_loss: 0.4004 - val_categorical_accuracy: 0.9227 - 2s/epoch - 7ms/step
Epoch 1298/1500
313/313 - 2s - loss: 0.0863 - categorical_accuracy: 0.9694 - val_loss: 0.3931 - val_categorical_accuracy: 0.9198 - 2s/epoch - 7ms/step
Epoch 1299/1500
313/313 - 2s - loss: 0.0857 - categorical_accuracy: 0.9702 - val_loss: 0.3801 - val_categorical_accuracy: 0.9232 - 2s/epoch - 7ms/step
Epoch 1300/1500
313/313 - 2s - loss: 0.0808 - categorical_accuracy: 0.9714 - val_loss: 0.4348 - val_categorical_accuracy: 0.9061 - 2s/epoch - 7ms/step
Epoch 1301/1500
313/313 - 2s - loss: 0.0867 - categorical_accuracy: 0.9699 - val_loss: 0.4814 - val_categorical_accuracy: 0.9015 - 2s/epoch - 7ms/step
Epoch 1302/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9681 - val_loss: 0.3475 - val_categorical_accuracy: 0.9288 - 2s/epoch - 7ms/step
Epoch 1303/1500
313/313 - 2s - loss: 0.0870 - categorical_accuracy: 0.9695 - val_loss: 1.4751 - val_categorical_accuracy: 0.8118 - 2s/epoch - 7ms/step
Epoch 1304/1500
313/313 - 2s - loss: 0.1062 - categorical_accuracy: 0.9647 - val_loss: 1.8125 - val_categorical_accuracy: 0.7387 - 2s/epoch - 7ms/step
Epoch 1305/1500
313/313 - 2s - loss: 0.1037 - categorical_accuracy: 0.9657 - val_loss: 0.3797 - val_categorical_accuracy: 0.9172 - 2s/epoch - 7ms/step
Epoch 1306/1500
313/313 - 2s - loss: 0.0810 - categorical_accuracy: 0.9713 - val_loss: 0.5376 - val_categorical_accuracy: 0.8889 - 2s/epoch - 7ms/step
Epoch 1307/1500
313/313 - 2s - loss: 0.0858 - categorical_accuracy: 0.9703 - val_loss: 0.5317 - val_categorical_accuracy: 0.8933 - 2s/epoch - 7ms/step
Epoch 1308/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9699 - val_loss: 0.7349 - val_categorical_accuracy: 0.8774 - 2s/epoch - 7ms/step
Epoch 1309/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9680 - val_loss: 0.5994 - val_categorical_accuracy: 0.8877 - 2s/epoch - 7ms/step
Epoch 1310/1500
313/313 - 2s - loss: 0.0850 - categorical_accuracy: 0.9699 - val_loss: 0.4072 - val_categorical_accuracy: 0.9181 - 2s/epoch - 7ms/step
Epoch 1311/1500
313/313 - 2s - loss: 0.0840 - categorical_accuracy: 0.9706 - val_loss: 0.6076 - val_categorical_accuracy: 0.8777 - 2s/epoch - 7ms/step
Epoch 1312/1500
313/313 - 2s - loss: 0.0884 - categorical_accuracy: 0.9693 - val_loss: 0.3453 - val_categorical_accuracy: 0.9291 - 2s/epoch - 7ms/step
Epoch 1313/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9706 - val_loss: 0.7082 - val_categorical_accuracy: 0.8610 - 2s/epoch - 7ms/step
Epoch 1314/1500
313/313 - 2s - loss: 0.0912 - categorical_accuracy: 0.9686 - val_loss: 0.5592 - val_categorical_accuracy: 0.8868 - 2s/epoch - 7ms/step
Epoch 1315/1500
313/313 - 2s - loss: 0.0837 - categorical_accuracy: 0.9710 - val_loss: 0.4296 - val_categorical_accuracy: 0.9161 - 2s/epoch - 7ms/step
Epoch 1316/1500
313/313 - 2s - loss: 0.0817 - categorical_accuracy: 0.9717 - val_loss: 0.9770 - val_categorical_accuracy: 0.8564 - 2s/epoch - 7ms/step
Epoch 1317/1500
313/313 - 2s - loss: 0.0885 - categorical_accuracy: 0.9696 - val_loss: 0.4981 - val_categorical_accuracy: 0.8950 - 2s/epoch - 7ms/step
Epoch 1318/1500
313/313 - 2s - loss: 0.0848 - categorical_accuracy: 0.9703 - val_loss: 0.4476 - val_categorical_accuracy: 0.9140 - 2s/epoch - 7ms/step
Epoch 1319/1500
313/313 - 2s - loss: 0.0847 - categorical_accuracy: 0.9704 - val_loss: 0.4249 - val_categorical_accuracy: 0.9169 - 2s/epoch - 7ms/step
Epoch 1320/1500
313/313 - 2s - loss: 0.0854 - categorical_accuracy: 0.9698 - val_loss: 0.4749 - val_categorical_accuracy: 0.9153 - 2s/epoch - 7ms/step
Epoch 1321/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9709 - val_loss: 1.0574 - val_categorical_accuracy: 0.8011 - 2s/epoch - 7ms/step
Epoch 1322/1500
313/313 - 2s - loss: 0.0963 - categorical_accuracy: 0.9672 - val_loss: 1.1983 - val_categorical_accuracy: 0.8242 - 2s/epoch - 7ms/step
Epoch 1323/1500
313/313 - 2s - loss: 0.1002 - categorical_accuracy: 0.9666 - val_loss: 0.6766 - val_categorical_accuracy: 0.8608 - 2s/epoch - 7ms/step
Epoch 1324/1500
313/313 - 2s - loss: 0.0917 - categorical_accuracy: 0.9679 - val_loss: 0.3976 - val_categorical_accuracy: 0.9188 - 2s/epoch - 7ms/step
Epoch 1325/1500
313/313 - 2s - loss: 0.0836 - categorical_accuracy: 0.9707 - val_loss: 0.4019 - val_categorical_accuracy: 0.9222 - 2s/epoch - 7ms/step
Epoch 1326/1500
313/313 - 2s - loss: 0.0859 - categorical_accuracy: 0.9697 - val_loss: 0.3660 - val_categorical_accuracy: 0.9309 - 2s/epoch - 7ms/step
Epoch 1327/1500
313/313 - 2s - loss: 0.0850 - categorical_accuracy: 0.9707 - val_loss: 0.5801 - val_categorical_accuracy: 0.8831 - 2s/epoch - 7ms/step
Epoch 1328/1500
313/313 - 2s - loss: 0.0858 - categorical_accuracy: 0.9702 - val_loss: 0.4464 - val_categorical_accuracy: 0.9179 - 2s/epoch - 7ms/step
Epoch 1329/1500
313/313 - 2s - loss: 0.0810 - categorical_accuracy: 0.9716 - val_loss: 0.5401 - val_categorical_accuracy: 0.9005 - 2s/epoch - 7ms/step
Epoch 1330/1500
313/313 - 2s - loss: 0.0839 - categorical_accuracy: 0.9707 - val_loss: 0.4959 - val_categorical_accuracy: 0.9079 - 2s/epoch - 7ms/step
Epoch 1331/1500
313/313 - 2s - loss: 0.0869 - categorical_accuracy: 0.9699 - val_loss: 0.4817 - val_categorical_accuracy: 0.9085 - 2s/epoch - 8ms/step
Epoch 1332/1500
313/313 - 2s - loss: 0.0851 - categorical_accuracy: 0.9704 - val_loss: 0.3550 - val_categorical_accuracy: 0.9307 - 2s/epoch - 7ms/step
Epoch 1333/1500
313/313 - 2s - loss: 0.0812 - categorical_accuracy: 0.9717 - val_loss: 0.6180 - val_categorical_accuracy: 0.8891 - 2s/epoch - 7ms/step
Epoch 1334/1500
313/313 - 2s - loss: 0.0840 - categorical_accuracy: 0.9710 - val_loss: 0.7329 - val_categorical_accuracy: 0.8593 - 2s/epoch - 7ms/step
Epoch 1335/1500
313/313 - 2s - loss: 0.0888 - categorical_accuracy: 0.9693 - val_loss: 0.3867 - val_categorical_accuracy: 0.9246 - 2s/epoch - 7ms/step
Epoch 1336/1500
313/313 - 2s - loss: 0.0859 - categorical_accuracy: 0.9706 - val_loss: 0.6154 - val_categorical_accuracy: 0.8795 - 2s/epoch - 7ms/step
Epoch 1337/1500
313/313 - 2s - loss: 0.0893 - categorical_accuracy: 0.9694 - val_loss: 0.9111 - val_categorical_accuracy: 0.8414 - 2s/epoch - 7ms/step
Epoch 1338/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9678 - val_loss: 0.5524 - val_categorical_accuracy: 0.8828 - 2s/epoch - 7ms/step
Epoch 1339/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9693 - val_loss: 0.3626 - val_categorical_accuracy: 0.9257 - 2s/epoch - 7ms/step
Epoch 1340/1500
313/313 - 2s - loss: 0.0823 - categorical_accuracy: 0.9711 - val_loss: 0.4697 - val_categorical_accuracy: 0.9128 - 2s/epoch - 7ms/step
Epoch 1341/1500
313/313 - 2s - loss: 0.0862 - categorical_accuracy: 0.9699 - val_loss: 0.4366 - val_categorical_accuracy: 0.9195 - 2s/epoch - 7ms/step
Epoch 1342/1500
313/313 - 2s - loss: 0.0856 - categorical_accuracy: 0.9699 - val_loss: 0.3753 - val_categorical_accuracy: 0.9296 - 2s/epoch - 7ms/step
Epoch 1343/1500
313/313 - 2s - loss: 0.0837 - categorical_accuracy: 0.9708 - val_loss: 0.4849 - val_categorical_accuracy: 0.8983 - 2s/epoch - 7ms/step
Epoch 1344/1500
313/313 - 2s - loss: 0.0855 - categorical_accuracy: 0.9702 - val_loss: 0.3713 - val_categorical_accuracy: 0.9309 - 2s/epoch - 7ms/step
Epoch 1345/1500
313/313 - 2s - loss: 0.0783 - categorical_accuracy: 0.9725 - val_loss: 0.4163 - val_categorical_accuracy: 0.9198 - 2s/epoch - 7ms/step
Epoch 1346/1500
313/313 - 2s - loss: 0.0843 - categorical_accuracy: 0.9701 - val_loss: 0.3885 - val_categorical_accuracy: 0.9222 - 2s/epoch - 7ms/step
Epoch 1347/1500
313/313 - 2s - loss: 0.0833 - categorical_accuracy: 0.9710 - val_loss: 0.7051 - val_categorical_accuracy: 0.8885 - 2s/epoch - 7ms/step
Epoch 1348/1500
313/313 - 2s - loss: 0.1081 - categorical_accuracy: 0.9642 - val_loss: 2.8177 - val_categorical_accuracy: 0.7636 - 2s/epoch - 7ms/step
Epoch 1349/1500
313/313 - 3s - loss: 0.1152 - categorical_accuracy: 0.9643 - val_loss: 0.5210 - val_categorical_accuracy: 0.8826 - 3s/epoch - 9ms/step
Epoch 1350/1500
313/313 - 3s - loss: 0.0866 - categorical_accuracy: 0.9697 - val_loss: 0.3673 - val_categorical_accuracy: 0.9295 - 3s/epoch - 9ms/step
Epoch 1351/1500
313/313 - 3s - loss: 0.0823 - categorical_accuracy: 0.9710 - val_loss: 0.4625 - val_categorical_accuracy: 0.9197 - 3s/epoch - 9ms/step
Epoch 1352/1500
313/313 - 3s - loss: 0.0833 - categorical_accuracy: 0.9709 - val_loss: 2.7053 - val_categorical_accuracy: 0.7009 - 3s/epoch - 8ms/step
Epoch 1353/1500
313/313 - 2s - loss: 0.1435 - categorical_accuracy: 0.9577 - val_loss: 0.8107 - val_categorical_accuracy: 0.8743 - 2s/epoch - 8ms/step
Epoch 1354/1500
313/313 - 2s - loss: 0.0894 - categorical_accuracy: 0.9691 - val_loss: 0.4710 - val_categorical_accuracy: 0.8905 - 2s/epoch - 8ms/step
Epoch 1355/1500
313/313 - 2s - loss: 0.0857 - categorical_accuracy: 0.9702 - val_loss: 0.3905 - val_categorical_accuracy: 0.9214 - 2s/epoch - 8ms/step
Epoch 1356/1500
313/313 - 2s - loss: 0.0814 - categorical_accuracy: 0.9714 - val_loss: 0.3469 - val_categorical_accuracy: 0.9294 - 2s/epoch - 8ms/step
Epoch 1357/1500
313/313 - 2s - loss: 0.0794 - categorical_accuracy: 0.9722 - val_loss: 2.4679 - val_categorical_accuracy: 0.7195 - 2s/epoch - 8ms/step
Epoch 1358/1500
313/313 - 2s - loss: 0.1375 - categorical_accuracy: 0.9593 - val_loss: 0.4060 - val_categorical_accuracy: 0.9181 - 2s/epoch - 8ms/step
Epoch 1359/1500
313/313 - 2s - loss: 0.0798 - categorical_accuracy: 0.9718 - val_loss: 1.4684 - val_categorical_accuracy: 0.7700 - 2s/epoch - 8ms/step
Epoch 1360/1500
313/313 - 2s - loss: 0.0988 - categorical_accuracy: 0.9668 - val_loss: 0.3434 - val_categorical_accuracy: 0.9310 - 2s/epoch - 8ms/step
Epoch 1361/1500
313/313 - 2s - loss: 0.0815 - categorical_accuracy: 0.9714 - val_loss: 0.4531 - val_categorical_accuracy: 0.9024 - 2s/epoch - 8ms/step
Epoch 1362/1500
313/313 - 2s - loss: 0.0817 - categorical_accuracy: 0.9713 - val_loss: 0.3816 - val_categorical_accuracy: 0.9250 - 2s/epoch - 8ms/step
Epoch 1363/1500
313/313 - 2s - loss: 0.0809 - categorical_accuracy: 0.9716 - val_loss: 0.3550 - val_categorical_accuracy: 0.9317 - 2s/epoch - 8ms/step
Epoch 1364/1500
313/313 - 2s - loss: 0.0802 - categorical_accuracy: 0.9715 - val_loss: 0.4393 - val_categorical_accuracy: 0.9058 - 2s/epoch - 8ms/step
Epoch 1365/1500
313/313 - 2s - loss: 0.0831 - categorical_accuracy: 0.9707 - val_loss: 0.3867 - val_categorical_accuracy: 0.9261 - 2s/epoch - 8ms/step
Epoch 1366/1500
313/313 - 2s - loss: 0.0818 - categorical_accuracy: 0.9712 - val_loss: 0.4526 - val_categorical_accuracy: 0.9109 - 2s/epoch - 8ms/step
Epoch 1367/1500
313/313 - 2s - loss: 0.0812 - categorical_accuracy: 0.9719 - val_loss: 0.7772 - val_categorical_accuracy: 0.8676 - 2s/epoch - 8ms/step
Epoch 1368/1500
313/313 - 2s - loss: 0.0904 - categorical_accuracy: 0.9682 - val_loss: 1.2083 - val_categorical_accuracy: 0.7741 - 2s/epoch - 8ms/step
Epoch 1369/1500
313/313 - 2s - loss: 0.1278 - categorical_accuracy: 0.9611 - val_loss: 0.4765 - val_categorical_accuracy: 0.8980 - 2s/epoch - 8ms/step
Epoch 1370/1500
313/313 - 2s - loss: 0.0866 - categorical_accuracy: 0.9699 - val_loss: 0.4115 - val_categorical_accuracy: 0.9135 - 2s/epoch - 8ms/step
Epoch 1371/1500
313/313 - 2s - loss: 0.0842 - categorical_accuracy: 0.9707 - val_loss: 0.4007 - val_categorical_accuracy: 0.9235 - 2s/epoch - 8ms/step
Epoch 1372/1500
313/313 - 2s - loss: 0.0808 - categorical_accuracy: 0.9713 - val_loss: 0.5980 - val_categorical_accuracy: 0.8764 - 2s/epoch - 8ms/step
Epoch 1373/1500
313/313 - 2s - loss: 0.0870 - categorical_accuracy: 0.9696 - val_loss: 0.3776 - val_categorical_accuracy: 0.9299 - 2s/epoch - 8ms/step
Epoch 1374/1500
313/313 - 2s - loss: 0.0814 - categorical_accuracy: 0.9717 - val_loss: 0.4389 - val_categorical_accuracy: 0.9132 - 2s/epoch - 8ms/step
Epoch 1375/1500
313/313 - 2s - loss: 0.0834 - categorical_accuracy: 0.9707 - val_loss: 0.4319 - val_categorical_accuracy: 0.9157 - 2s/epoch - 8ms/step
Epoch 1376/1500
313/313 - 2s - loss: 0.0870 - categorical_accuracy: 0.9696 - val_loss: 0.4534 - val_categorical_accuracy: 0.9117 - 2s/epoch - 8ms/step
Epoch 1377/1500
313/313 - 2s - loss: 0.0848 - categorical_accuracy: 0.9701 - val_loss: 0.3736 - val_categorical_accuracy: 0.9292 - 2s/epoch - 8ms/step
Epoch 1378/1500
313/313 - 2s - loss: 0.0822 - categorical_accuracy: 0.9714 - val_loss: 0.4149 - val_categorical_accuracy: 0.9203 - 2s/epoch - 8ms/step
Epoch 1379/1500
313/313 - 2s - loss: 0.0804 - categorical_accuracy: 0.9715 - val_loss: 0.6310 - val_categorical_accuracy: 0.8943 - 2s/epoch - 8ms/step
Epoch 1380/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9675 - val_loss: 0.9957 - val_categorical_accuracy: 0.8317 - 2s/epoch - 8ms/step
Epoch 1381/1500
313/313 - 2s - loss: 0.0987 - categorical_accuracy: 0.9663 - val_loss: 1.0536 - val_categorical_accuracy: 0.8717 - 2s/epoch - 8ms/step
Epoch 1382/1500
313/313 - 2s - loss: 0.0889 - categorical_accuracy: 0.9697 - val_loss: 0.3674 - val_categorical_accuracy: 0.9232 - 2s/epoch - 8ms/step
Epoch 1383/1500
313/313 - 2s - loss: 0.0820 - categorical_accuracy: 0.9712 - val_loss: 0.4314 - val_categorical_accuracy: 0.9098 - 2s/epoch - 8ms/step
Epoch 1384/1500
313/313 - 2s - loss: 0.0813 - categorical_accuracy: 0.9715 - val_loss: 1.0492 - val_categorical_accuracy: 0.8111 - 2s/epoch - 7ms/step
Epoch 1385/1500
313/313 - 2s - loss: 0.0984 - categorical_accuracy: 0.9666 - val_loss: 0.5653 - val_categorical_accuracy: 0.8848 - 2s/epoch - 8ms/step
Epoch 1386/1500
313/313 - 2s - loss: 0.0853 - categorical_accuracy: 0.9703 - val_loss: 0.5574 - val_categorical_accuracy: 0.8917 - 2s/epoch - 8ms/step
Epoch 1387/1500
313/313 - 2s - loss: 0.0904 - categorical_accuracy: 0.9689 - val_loss: 1.1103 - val_categorical_accuracy: 0.8187 - 2s/epoch - 8ms/step
Epoch 1388/1500
313/313 - 2s - loss: 0.0959 - categorical_accuracy: 0.9672 - val_loss: 0.6615 - val_categorical_accuracy: 0.8596 - 2s/epoch - 8ms/step
Epoch 1389/1500
313/313 - 2s - loss: 0.0854 - categorical_accuracy: 0.9701 - val_loss: 0.7188 - val_categorical_accuracy: 0.8600 - 2s/epoch - 8ms/step
Epoch 1390/1500
313/313 - 2s - loss: 0.0893 - categorical_accuracy: 0.9688 - val_loss: 0.3541 - val_categorical_accuracy: 0.9295 - 2s/epoch - 8ms/step
Epoch 1391/1500
313/313 - 2s - loss: 0.0793 - categorical_accuracy: 0.9725 - val_loss: 0.5555 - val_categorical_accuracy: 0.8930 - 2s/epoch - 8ms/step
Epoch 1392/1500
313/313 - 2s - loss: 0.0824 - categorical_accuracy: 0.9709 - val_loss: 0.6598 - val_categorical_accuracy: 0.8731 - 2s/epoch - 8ms/step
Epoch 1393/1500
313/313 - 2s - loss: 0.0843 - categorical_accuracy: 0.9707 - val_loss: 0.5550 - val_categorical_accuracy: 0.8918 - 2s/epoch - 8ms/step
Epoch 1394/1500
313/313 - 2s - loss: 0.0836 - categorical_accuracy: 0.9711 - val_loss: 0.7647 - val_categorical_accuracy: 0.8453 - 2s/epoch - 8ms/step
Epoch 1395/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9676 - val_loss: 0.3685 - val_categorical_accuracy: 0.9309 - 2s/epoch - 8ms/step
Epoch 1396/1500
313/313 - 2s - loss: 0.0825 - categorical_accuracy: 0.9712 - val_loss: 0.5197 - val_categorical_accuracy: 0.8955 - 2s/epoch - 8ms/step
Epoch 1397/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9702 - val_loss: 0.4038 - val_categorical_accuracy: 0.9192 - 2s/epoch - 7ms/step
Epoch 1398/1500
313/313 - 2s - loss: 0.0819 - categorical_accuracy: 0.9713 - val_loss: 0.3805 - val_categorical_accuracy: 0.9269 - 2s/epoch - 8ms/step
Epoch 1399/1500
313/313 - 2s - loss: 0.0832 - categorical_accuracy: 0.9708 - val_loss: 0.3644 - val_categorical_accuracy: 0.9304 - 2s/epoch - 8ms/step
Epoch 1400/1500
313/313 - 2s - loss: 0.0834 - categorical_accuracy: 0.9709 - val_loss: 1.1434 - val_categorical_accuracy: 0.8205 - 2s/epoch - 7ms/step
Epoch 1401/1500
313/313 - 2s - loss: 0.0890 - categorical_accuracy: 0.9697 - val_loss: 1.1391 - val_categorical_accuracy: 0.8179 - 2s/epoch - 8ms/step
Epoch 1402/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9689 - val_loss: 0.3663 - val_categorical_accuracy: 0.9307 - 2s/epoch - 8ms/step
Epoch 1403/1500
313/313 - 2s - loss: 0.0820 - categorical_accuracy: 0.9713 - val_loss: 0.4611 - val_categorical_accuracy: 0.9093 - 2s/epoch - 8ms/step
Epoch 1404/1500
313/313 - 2s - loss: 0.0842 - categorical_accuracy: 0.9708 - val_loss: 0.4506 - val_categorical_accuracy: 0.9153 - 2s/epoch - 8ms/step
Epoch 1405/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9700 - val_loss: 1.0912 - val_categorical_accuracy: 0.8442 - 2s/epoch - 8ms/step
Epoch 1406/1500
313/313 - 2s - loss: 0.1002 - categorical_accuracy: 0.9664 - val_loss: 0.7695 - val_categorical_accuracy: 0.8674 - 2s/epoch - 8ms/step
Epoch 1407/1500
313/313 - 2s - loss: 0.0900 - categorical_accuracy: 0.9692 - val_loss: 0.5907 - val_categorical_accuracy: 0.8860 - 2s/epoch - 8ms/step
Epoch 1408/1500
313/313 - 2s - loss: 0.0829 - categorical_accuracy: 0.9714 - val_loss: 0.5060 - val_categorical_accuracy: 0.9095 - 2s/epoch - 8ms/step
Epoch 1409/1500
313/313 - 2s - loss: 0.0817 - categorical_accuracy: 0.9714 - val_loss: 0.4114 - val_categorical_accuracy: 0.9167 - 2s/epoch - 8ms/step
Epoch 1410/1500
313/313 - 2s - loss: 0.0842 - categorical_accuracy: 0.9709 - val_loss: 0.3770 - val_categorical_accuracy: 0.9257 - 2s/epoch - 8ms/step
Epoch 1411/1500
313/313 - 2s - loss: 0.0825 - categorical_accuracy: 0.9711 - val_loss: 0.3769 - val_categorical_accuracy: 0.9307 - 2s/epoch - 8ms/step
Epoch 1412/1500
313/313 - 2s - loss: 0.0834 - categorical_accuracy: 0.9710 - val_loss: 0.4217 - val_categorical_accuracy: 0.9177 - 2s/epoch - 8ms/step
Epoch 1413/1500
313/313 - 2s - loss: 0.0843 - categorical_accuracy: 0.9702 - val_loss: 0.3800 - val_categorical_accuracy: 0.9252 - 2s/epoch - 8ms/step
Epoch 1414/1500
313/313 - 2s - loss: 0.0800 - categorical_accuracy: 0.9721 - val_loss: 0.5476 - val_categorical_accuracy: 0.8947 - 2s/epoch - 8ms/step
Epoch 1415/1500
313/313 - 2s - loss: 0.0855 - categorical_accuracy: 0.9708 - val_loss: 1.2434 - val_categorical_accuracy: 0.8295 - 2s/epoch - 8ms/step
Epoch 1416/1500
313/313 - 2s - loss: 0.1064 - categorical_accuracy: 0.9652 - val_loss: 0.3654 - val_categorical_accuracy: 0.9285 - 2s/epoch - 8ms/step
Epoch 1417/1500
313/313 - 2s - loss: 0.0840 - categorical_accuracy: 0.9708 - val_loss: 0.5583 - val_categorical_accuracy: 0.8820 - 2s/epoch - 8ms/step
Epoch 1418/1500
313/313 - 2s - loss: 0.0882 - categorical_accuracy: 0.9694 - val_loss: 0.7274 - val_categorical_accuracy: 0.8589 - 2s/epoch - 7ms/step
Epoch 1419/1500
313/313 - 2s - loss: 0.0939 - categorical_accuracy: 0.9678 - val_loss: 0.4826 - val_categorical_accuracy: 0.9040 - 2s/epoch - 8ms/step
Epoch 1420/1500
313/313 - 2s - loss: 0.0811 - categorical_accuracy: 0.9718 - val_loss: 0.6450 - val_categorical_accuracy: 0.8701 - 2s/epoch - 8ms/step
Epoch 1421/1500
313/313 - 2s - loss: 0.0851 - categorical_accuracy: 0.9706 - val_loss: 0.4589 - val_categorical_accuracy: 0.9095 - 2s/epoch - 8ms/step
Epoch 1422/1500
313/313 - 2s - loss: 0.0783 - categorical_accuracy: 0.9728 - val_loss: 0.6773 - val_categorical_accuracy: 0.8662 - 2s/epoch - 8ms/step
Epoch 1423/1500
313/313 - 2s - loss: 0.0869 - categorical_accuracy: 0.9700 - val_loss: 0.7132 - val_categorical_accuracy: 0.8737 - 2s/epoch - 8ms/step
Epoch 1424/1500
313/313 - 2s - loss: 0.0892 - categorical_accuracy: 0.9691 - val_loss: 0.4791 - val_categorical_accuracy: 0.9125 - 2s/epoch - 8ms/step
Epoch 1425/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9702 - val_loss: 0.4578 - val_categorical_accuracy: 0.9123 - 2s/epoch - 8ms/step
Epoch 1426/1500
313/313 - 2s - loss: 0.0817 - categorical_accuracy: 0.9710 - val_loss: 0.6367 - val_categorical_accuracy: 0.8854 - 2s/epoch - 8ms/step
Epoch 1427/1500
313/313 - 2s - loss: 0.0889 - categorical_accuracy: 0.9694 - val_loss: 0.5218 - val_categorical_accuracy: 0.8965 - 2s/epoch - 8ms/step
Epoch 1428/1500
313/313 - 2s - loss: 0.0855 - categorical_accuracy: 0.9706 - val_loss: 0.7836 - val_categorical_accuracy: 0.8758 - 2s/epoch - 8ms/step
Epoch 1429/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9690 - val_loss: 0.3645 - val_categorical_accuracy: 0.9269 - 2s/epoch - 7ms/step
Epoch 1430/1500
313/313 - 2s - loss: 0.0783 - categorical_accuracy: 0.9722 - val_loss: 1.8610 - val_categorical_accuracy: 0.7469 - 2s/epoch - 8ms/step
Epoch 1431/1500
313/313 - 2s - loss: 0.1094 - categorical_accuracy: 0.9656 - val_loss: 0.3829 - val_categorical_accuracy: 0.9265 - 2s/epoch - 8ms/step
Epoch 1432/1500
313/313 - 2s - loss: 0.0797 - categorical_accuracy: 0.9716 - val_loss: 0.3774 - val_categorical_accuracy: 0.9272 - 2s/epoch - 8ms/step
Epoch 1433/1500
313/313 - 2s - loss: 0.0834 - categorical_accuracy: 0.9709 - val_loss: 0.3707 - val_categorical_accuracy: 0.9305 - 2s/epoch - 8ms/step
Epoch 1434/1500
313/313 - 2s - loss: 0.0848 - categorical_accuracy: 0.9704 - val_loss: 0.3623 - val_categorical_accuracy: 0.9312 - 2s/epoch - 8ms/step
Epoch 1435/1500
313/313 - 2s - loss: 0.0832 - categorical_accuracy: 0.9710 - val_loss: 0.5788 - val_categorical_accuracy: 0.8863 - 2s/epoch - 7ms/step
Epoch 1436/1500
313/313 - 2s - loss: 0.0880 - categorical_accuracy: 0.9696 - val_loss: 1.5327 - val_categorical_accuracy: 0.7879 - 2s/epoch - 8ms/step
Epoch 1437/1500
313/313 - 2s - loss: 0.1059 - categorical_accuracy: 0.9647 - val_loss: 0.3999 - val_categorical_accuracy: 0.9173 - 2s/epoch - 8ms/step
Epoch 1438/1500
313/313 - 2s - loss: 0.0822 - categorical_accuracy: 0.9714 - val_loss: 0.3606 - val_categorical_accuracy: 0.9309 - 2s/epoch - 8ms/step
Epoch 1439/1500
313/313 - 2s - loss: 0.0811 - categorical_accuracy: 0.9718 - val_loss: 1.2805 - val_categorical_accuracy: 0.8062 - 2s/epoch - 8ms/step
Epoch 1440/1500
313/313 - 2s - loss: 0.1019 - categorical_accuracy: 0.9655 - val_loss: 0.3895 - val_categorical_accuracy: 0.9236 - 2s/epoch - 7ms/step
Epoch 1441/1500
313/313 - 2s - loss: 0.0814 - categorical_accuracy: 0.9716 - val_loss: 0.6111 - val_categorical_accuracy: 0.8998 - 2s/epoch - 8ms/step
Epoch 1442/1500
313/313 - 2s - loss: 0.0866 - categorical_accuracy: 0.9700 - val_loss: 0.3829 - val_categorical_accuracy: 0.9240 - 2s/epoch - 8ms/step
Epoch 1443/1500
313/313 - 2s - loss: 0.0803 - categorical_accuracy: 0.9719 - val_loss: 0.6249 - val_categorical_accuracy: 0.8924 - 2s/epoch - 8ms/step
Epoch 1444/1500
313/313 - 2s - loss: 0.0898 - categorical_accuracy: 0.9687 - val_loss: 0.4972 - val_categorical_accuracy: 0.9032 - 2s/epoch - 8ms/step
Epoch 1445/1500
313/313 - 2s - loss: 0.0866 - categorical_accuracy: 0.9702 - val_loss: 0.4163 - val_categorical_accuracy: 0.9215 - 2s/epoch - 7ms/step
Epoch 1446/1500
313/313 - 2s - loss: 0.0787 - categorical_accuracy: 0.9726 - val_loss: 0.4325 - val_categorical_accuracy: 0.9127 - 2s/epoch - 8ms/step
Epoch 1447/1500
313/313 - 2s - loss: 0.0843 - categorical_accuracy: 0.9705 - val_loss: 0.4112 - val_categorical_accuracy: 0.9235 - 2s/epoch - 8ms/step
Epoch 1448/1500
313/313 - 2s - loss: 0.0829 - categorical_accuracy: 0.9712 - val_loss: 0.4727 - val_categorical_accuracy: 0.9038 - 2s/epoch - 7ms/step
Epoch 1449/1500
313/313 - 2s - loss: 0.0852 - categorical_accuracy: 0.9699 - val_loss: 0.4983 - val_categorical_accuracy: 0.9096 - 2s/epoch - 8ms/step
Epoch 1450/1500
313/313 - 2s - loss: 0.0816 - categorical_accuracy: 0.9721 - val_loss: 0.4408 - val_categorical_accuracy: 0.9130 - 2s/epoch - 8ms/step
Epoch 1451/1500
313/313 - 2s - loss: 0.0843 - categorical_accuracy: 0.9704 - val_loss: 0.3650 - val_categorical_accuracy: 0.9285 - 2s/epoch - 8ms/step
Epoch 1452/1500
313/313 - 2s - loss: 0.0775 - categorical_accuracy: 0.9724 - val_loss: 1.1954 - val_categorical_accuracy: 0.8348 - 2s/epoch - 8ms/step
Epoch 1453/1500
313/313 - 2s - loss: 0.1054 - categorical_accuracy: 0.9653 - val_loss: 0.5436 - val_categorical_accuracy: 0.9076 - 2s/epoch - 7ms/step
Epoch 1454/1500
313/313 - 2s - loss: 0.0867 - categorical_accuracy: 0.9702 - val_loss: 0.4168 - val_categorical_accuracy: 0.9209 - 2s/epoch - 8ms/step
Epoch 1455/1500
313/313 - 2s - loss: 0.0821 - categorical_accuracy: 0.9712 - val_loss: 0.8392 - val_categorical_accuracy: 0.8287 - 2s/epoch - 8ms/step
Epoch 1456/1500
313/313 - 2s - loss: 0.0881 - categorical_accuracy: 0.9693 - val_loss: 0.4587 - val_categorical_accuracy: 0.9165 - 2s/epoch - 8ms/step
Epoch 1457/1500
313/313 - 2s - loss: 0.0819 - categorical_accuracy: 0.9718 - val_loss: 0.4165 - val_categorical_accuracy: 0.9114 - 2s/epoch - 8ms/step
Epoch 1458/1500
313/313 - 2s - loss: 0.0817 - categorical_accuracy: 0.9712 - val_loss: 0.7913 - val_categorical_accuracy: 0.8511 - 2s/epoch - 8ms/step
Epoch 1459/1500
313/313 - 2s - loss: 0.0907 - categorical_accuracy: 0.9690 - val_loss: 0.7061 - val_categorical_accuracy: 0.8715 - 2s/epoch - 8ms/step
Epoch 1460/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9692 - val_loss: 0.4681 - val_categorical_accuracy: 0.9144 - 2s/epoch - 7ms/step
Epoch 1461/1500
313/313 - 2s - loss: 0.0849 - categorical_accuracy: 0.9704 - val_loss: 0.3533 - val_categorical_accuracy: 0.9297 - 2s/epoch - 7ms/step
Epoch 1462/1500
313/313 - 2s - loss: 0.0824 - categorical_accuracy: 0.9709 - val_loss: 2.5769 - val_categorical_accuracy: 0.7076 - 2s/epoch - 7ms/step
Epoch 1463/1500
313/313 - 2s - loss: 0.1534 - categorical_accuracy: 0.9567 - val_loss: 0.4646 - val_categorical_accuracy: 0.8964 - 2s/epoch - 8ms/step
Epoch 1464/1500
313/313 - 2s - loss: 0.0813 - categorical_accuracy: 0.9710 - val_loss: 0.4960 - val_categorical_accuracy: 0.8988 - 2s/epoch - 8ms/step
Epoch 1465/1500
313/313 - 2s - loss: 0.0841 - categorical_accuracy: 0.9710 - val_loss: 0.4491 - val_categorical_accuracy: 0.9096 - 2s/epoch - 7ms/step
Epoch 1466/1500
313/313 - 2s - loss: 0.0807 - categorical_accuracy: 0.9719 - val_loss: 0.5590 - val_categorical_accuracy: 0.8942 - 2s/epoch - 7ms/step
Epoch 1467/1500
313/313 - 2s - loss: 0.0826 - categorical_accuracy: 0.9713 - val_loss: 0.3929 - val_categorical_accuracy: 0.9279 - 2s/epoch - 8ms/step
Epoch 1468/1500
313/313 - 2s - loss: 0.0791 - categorical_accuracy: 0.9724 - val_loss: 0.3706 - val_categorical_accuracy: 0.9272 - 2s/epoch - 8ms/step
Epoch 1469/1500
313/313 - 2s - loss: 0.0801 - categorical_accuracy: 0.9721 - val_loss: 0.4230 - val_categorical_accuracy: 0.9259 - 2s/epoch - 8ms/step
Epoch 1470/1500
313/313 - 2s - loss: 0.0838 - categorical_accuracy: 0.9712 - val_loss: 0.5111 - val_categorical_accuracy: 0.9053 - 2s/epoch - 8ms/step
Epoch 1471/1500
313/313 - 2s - loss: 0.0851 - categorical_accuracy: 0.9701 - val_loss: 1.4632 - val_categorical_accuracy: 0.7988 - 2s/epoch - 8ms/step
Epoch 1472/1500
313/313 - 2s - loss: 0.1165 - categorical_accuracy: 0.9623 - val_loss: 0.3684 - val_categorical_accuracy: 0.9264 - 2s/epoch - 8ms/step
Epoch 1473/1500
313/313 - 2s - loss: 0.0860 - categorical_accuracy: 0.9699 - val_loss: 0.4303 - val_categorical_accuracy: 0.9172 - 2s/epoch - 7ms/step
Epoch 1474/1500
313/313 - 2s - loss: 0.0841 - categorical_accuracy: 0.9707 - val_loss: 0.7198 - val_categorical_accuracy: 0.8563 - 2s/epoch - 8ms/step
Epoch 1475/1500
313/313 - 2s - loss: 0.0889 - categorical_accuracy: 0.9698 - val_loss: 0.6448 - val_categorical_accuracy: 0.8840 - 2s/epoch - 7ms/step
Epoch 1476/1500
313/313 - 2s - loss: 0.0857 - categorical_accuracy: 0.9702 - val_loss: 0.4110 - val_categorical_accuracy: 0.9155 - 2s/epoch - 8ms/step
Epoch 1477/1500
313/313 - 2s - loss: 0.0811 - categorical_accuracy: 0.9716 - val_loss: 0.4698 - val_categorical_accuracy: 0.9128 - 2s/epoch - 8ms/step
Epoch 1478/1500
313/313 - 2s - loss: 0.0838 - categorical_accuracy: 0.9710 - val_loss: 0.5763 - val_categorical_accuracy: 0.8811 - 2s/epoch - 8ms/step
Epoch 1479/1500
313/313 - 2s - loss: 0.0868 - categorical_accuracy: 0.9695 - val_loss: 0.3886 - val_categorical_accuracy: 0.9245 - 2s/epoch - 7ms/step
Epoch 1480/1500
313/313 - 2s - loss: 0.0787 - categorical_accuracy: 0.9725 - val_loss: 0.4233 - val_categorical_accuracy: 0.9135 - 2s/epoch - 8ms/step
Epoch 1481/1500
313/313 - 2s - loss: 0.0838 - categorical_accuracy: 0.9706 - val_loss: 0.3697 - val_categorical_accuracy: 0.9291 - 2s/epoch - 7ms/step
Epoch 1482/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9700 - val_loss: 0.8528 - val_categorical_accuracy: 0.8530 - 2s/epoch - 8ms/step
Epoch 1483/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9682 - val_loss: 0.4535 - val_categorical_accuracy: 0.9104 - 2s/epoch - 7ms/step
Epoch 1484/1500
313/313 - 2s - loss: 0.0820 - categorical_accuracy: 0.9714 - val_loss: 0.5981 - val_categorical_accuracy: 0.8780 - 2s/epoch - 8ms/step
Epoch 1485/1500
313/313 - 2s - loss: 0.0842 - categorical_accuracy: 0.9707 - val_loss: 0.9158 - val_categorical_accuracy: 0.8569 - 2s/epoch - 8ms/step
Epoch 1486/1500
313/313 - 2s - loss: 0.0871 - categorical_accuracy: 0.9704 - val_loss: 0.4665 - val_categorical_accuracy: 0.9106 - 2s/epoch - 7ms/step
Epoch 1487/1500
313/313 - 2s - loss: 0.0815 - categorical_accuracy: 0.9716 - val_loss: 0.4461 - val_categorical_accuracy: 0.9179 - 2s/epoch - 7ms/step
Epoch 1488/1500
313/313 - 2s - loss: 0.0839 - categorical_accuracy: 0.9709 - val_loss: 1.4841 - val_categorical_accuracy: 0.7823 - 2s/epoch - 8ms/step
Epoch 1489/1500
313/313 - 2s - loss: 0.1117 - categorical_accuracy: 0.9636 - val_loss: 1.9466 - val_categorical_accuracy: 0.7638 - 2s/epoch - 7ms/step
Epoch 1490/1500
313/313 - 2s - loss: 0.1206 - categorical_accuracy: 0.9606 - val_loss: 0.3634 - val_categorical_accuracy: 0.9302 - 2s/epoch - 7ms/step
Epoch 1491/1500
313/313 - 2s - loss: 0.0823 - categorical_accuracy: 0.9708 - val_loss: 0.3676 - val_categorical_accuracy: 0.9282 - 2s/epoch - 8ms/step
Epoch 1492/1500
313/313 - 2s - loss: 0.0786 - categorical_accuracy: 0.9720 - val_loss: 1.6615 - val_categorical_accuracy: 0.7912 - 2s/epoch - 8ms/step
Epoch 1493/1500
313/313 - 2s - loss: 0.1162 - categorical_accuracy: 0.9624 - val_loss: 4.0121 - val_categorical_accuracy: 0.5665 - 2s/epoch - 8ms/step
Epoch 1494/1500
313/313 - 2s - loss: 0.2825 - categorical_accuracy: 0.9265 - val_loss: 0.4167 - val_categorical_accuracy: 0.9071 - 2s/epoch - 8ms/step
Epoch 1495/1500
313/313 - 2s - loss: 0.0873 - categorical_accuracy: 0.9695 - val_loss: 0.3534 - val_categorical_accuracy: 0.9237 - 2s/epoch - 7ms/step
Epoch 1496/1500
313/313 - 2s - loss: 0.0801 - categorical_accuracy: 0.9722 - val_loss: 0.3393 - val_categorical_accuracy: 0.9296 - 2s/epoch - 7ms/step
Epoch 1497/1500
313/313 - 2s - loss: 0.0786 - categorical_accuracy: 0.9721 - val_loss: 1.3854 - val_categorical_accuracy: 0.7493 - 2s/epoch - 8ms/step
Epoch 1498/1500
313/313 - 2s - loss: 0.1042 - categorical_accuracy: 0.9667 - val_loss: 0.3500 - val_categorical_accuracy: 0.9325 - 2s/epoch - 7ms/step
Epoch 1499/1500
313/313 - 2s - loss: 0.0803 - categorical_accuracy: 0.9718 - val_loss: 0.7748 - val_categorical_accuracy: 0.8512 - 2s/epoch - 7ms/step
Epoch 1500/1500
313/313 - 2s - loss: 0.0922 - categorical_accuracy: 0.9686 - val_loss: 0.3753 - val_categorical_accuracy: 0.9300 - 2s/epoch - 8ms/step
processing fold # 2 
Epoch 1/1500
313/313 - 3s - loss: 1.6843 - categorical_accuracy: 0.3657 - val_loss: 1.6547 - val_categorical_accuracy: 0.3739 - 3s/epoch - 10ms/step
Epoch 2/1500
313/313 - 2s - loss: 1.1592 - categorical_accuracy: 0.5675 - val_loss: 1.5228 - val_categorical_accuracy: 0.4490 - 2s/epoch - 8ms/step
Epoch 3/1500
313/313 - 2s - loss: 0.9457 - categorical_accuracy: 0.6499 - val_loss: 0.9145 - val_categorical_accuracy: 0.6490 - 2s/epoch - 8ms/step
Epoch 4/1500
313/313 - 2s - loss: 0.7775 - categorical_accuracy: 0.7081 - val_loss: 0.9271 - val_categorical_accuracy: 0.6684 - 2s/epoch - 7ms/step
Epoch 5/1500
313/313 - 2s - loss: 0.6692 - categorical_accuracy: 0.7495 - val_loss: 1.4615 - val_categorical_accuracy: 0.5126 - 2s/epoch - 7ms/step
Epoch 6/1500
313/313 - 2s - loss: 0.6329 - categorical_accuracy: 0.7671 - val_loss: 0.7826 - val_categorical_accuracy: 0.6884 - 2s/epoch - 8ms/step
Epoch 7/1500
313/313 - 2s - loss: 0.5585 - categorical_accuracy: 0.7923 - val_loss: 0.9535 - val_categorical_accuracy: 0.6715 - 2s/epoch - 8ms/step
Epoch 8/1500
313/313 - 2s - loss: 0.6512 - categorical_accuracy: 0.7718 - val_loss: 0.6663 - val_categorical_accuracy: 0.7535 - 2s/epoch - 7ms/step
Epoch 9/1500
313/313 - 2s - loss: 0.4958 - categorical_accuracy: 0.8181 - val_loss: 0.8284 - val_categorical_accuracy: 0.7104 - 2s/epoch - 7ms/step
Epoch 10/1500
313/313 - 2s - loss: 0.4649 - categorical_accuracy: 0.8288 - val_loss: 0.7129 - val_categorical_accuracy: 0.7549 - 2s/epoch - 8ms/step
Epoch 11/1500
313/313 - 3s - loss: 0.4377 - categorical_accuracy: 0.8385 - val_loss: 1.2892 - val_categorical_accuracy: 0.6273 - 3s/epoch - 9ms/step
Epoch 12/1500
313/313 - 2s - loss: 0.4587 - categorical_accuracy: 0.8372 - val_loss: 0.7232 - val_categorical_accuracy: 0.7604 - 2s/epoch - 8ms/step
Epoch 13/1500
313/313 - 2s - loss: 0.4090 - categorical_accuracy: 0.8516 - val_loss: 0.8724 - val_categorical_accuracy: 0.7270 - 2s/epoch - 8ms/step
Epoch 14/1500
313/313 - 2s - loss: 0.3991 - categorical_accuracy: 0.8559 - val_loss: 0.9098 - val_categorical_accuracy: 0.6893 - 2s/epoch - 8ms/step
Epoch 15/1500
313/313 - 2s - loss: 0.4077 - categorical_accuracy: 0.8558 - val_loss: 0.6130 - val_categorical_accuracy: 0.8068 - 2s/epoch - 8ms/step
Epoch 16/1500
313/313 - 2s - loss: 0.3560 - categorical_accuracy: 0.8706 - val_loss: 0.7180 - val_categorical_accuracy: 0.7592 - 2s/epoch - 8ms/step
Epoch 17/1500
313/313 - 2s - loss: 0.3473 - categorical_accuracy: 0.8743 - val_loss: 0.7733 - val_categorical_accuracy: 0.7530 - 2s/epoch - 8ms/step
Epoch 18/1500
313/313 - 2s - loss: 0.3879 - categorical_accuracy: 0.8659 - val_loss: 1.3538 - val_categorical_accuracy: 0.6343 - 2s/epoch - 8ms/step
Epoch 19/1500
313/313 - 2s - loss: 0.3599 - categorical_accuracy: 0.8742 - val_loss: 0.7371 - val_categorical_accuracy: 0.7667 - 2s/epoch - 8ms/step
Epoch 20/1500
313/313 - 2s - loss: 0.3217 - categorical_accuracy: 0.8843 - val_loss: 0.6563 - val_categorical_accuracy: 0.7758 - 2s/epoch - 8ms/step
Epoch 21/1500
313/313 - 2s - loss: 0.3158 - categorical_accuracy: 0.8860 - val_loss: 1.0111 - val_categorical_accuracy: 0.7005 - 2s/epoch - 8ms/step
Epoch 22/1500
313/313 - 2s - loss: 0.3151 - categorical_accuracy: 0.8872 - val_loss: 0.9418 - val_categorical_accuracy: 0.7341 - 2s/epoch - 8ms/step
Epoch 23/1500
313/313 - 2s - loss: 0.2972 - categorical_accuracy: 0.8937 - val_loss: 0.9161 - val_categorical_accuracy: 0.7208 - 2s/epoch - 8ms/step
Epoch 24/1500
313/313 - 2s - loss: 0.3066 - categorical_accuracy: 0.8921 - val_loss: 1.9195 - val_categorical_accuracy: 0.6759 - 2s/epoch - 8ms/step
Epoch 25/1500
313/313 - 2s - loss: 0.3175 - categorical_accuracy: 0.8899 - val_loss: 0.4083 - val_categorical_accuracy: 0.8547 - 2s/epoch - 8ms/step
Epoch 26/1500
313/313 - 2s - loss: 0.2785 - categorical_accuracy: 0.8998 - val_loss: 0.3567 - val_categorical_accuracy: 0.8755 - 2s/epoch - 8ms/step
Epoch 27/1500
313/313 - 3s - loss: 0.2726 - categorical_accuracy: 0.9017 - val_loss: 0.3531 - val_categorical_accuracy: 0.8741 - 3s/epoch - 8ms/step
Epoch 28/1500
313/313 - 2s - loss: 0.2674 - categorical_accuracy: 0.9036 - val_loss: 0.4846 - val_categorical_accuracy: 0.8448 - 2s/epoch - 8ms/step
Epoch 29/1500
313/313 - 2s - loss: 0.2661 - categorical_accuracy: 0.9057 - val_loss: 0.4929 - val_categorical_accuracy: 0.8364 - 2s/epoch - 8ms/step
Epoch 30/1500
313/313 - 2s - loss: 0.2627 - categorical_accuracy: 0.9060 - val_loss: 0.6341 - val_categorical_accuracy: 0.7958 - 2s/epoch - 8ms/step
Epoch 31/1500
313/313 - 2s - loss: 0.2541 - categorical_accuracy: 0.9096 - val_loss: 0.9154 - val_categorical_accuracy: 0.7501 - 2s/epoch - 8ms/step
Epoch 32/1500
313/313 - 2s - loss: 0.2942 - categorical_accuracy: 0.9003 - val_loss: 0.4470 - val_categorical_accuracy: 0.8430 - 2s/epoch - 8ms/step
Epoch 33/1500
313/313 - 2s - loss: 0.2452 - categorical_accuracy: 0.9127 - val_loss: 0.9441 - val_categorical_accuracy: 0.7672 - 2s/epoch - 8ms/step
Epoch 34/1500
313/313 - 2s - loss: 0.2513 - categorical_accuracy: 0.9117 - val_loss: 0.3870 - val_categorical_accuracy: 0.8681 - 2s/epoch - 8ms/step
Epoch 35/1500
313/313 - 2s - loss: 0.2397 - categorical_accuracy: 0.9145 - val_loss: 0.4137 - val_categorical_accuracy: 0.8554 - 2s/epoch - 8ms/step
Epoch 36/1500
313/313 - 2s - loss: 0.2337 - categorical_accuracy: 0.9173 - val_loss: 0.4215 - val_categorical_accuracy: 0.8535 - 2s/epoch - 8ms/step
Epoch 37/1500
313/313 - 2s - loss: 0.2353 - categorical_accuracy: 0.9167 - val_loss: 0.3843 - val_categorical_accuracy: 0.8698 - 2s/epoch - 8ms/step
Epoch 38/1500
313/313 - 2s - loss: 0.2273 - categorical_accuracy: 0.9192 - val_loss: 0.6241 - val_categorical_accuracy: 0.8061 - 2s/epoch - 8ms/step
Epoch 39/1500
313/313 - 2s - loss: 0.2290 - categorical_accuracy: 0.9181 - val_loss: 1.7493 - val_categorical_accuracy: 0.6929 - 2s/epoch - 8ms/step
Epoch 40/1500
313/313 - 2s - loss: 0.3312 - categorical_accuracy: 0.8936 - val_loss: 0.3534 - val_categorical_accuracy: 0.8820 - 2s/epoch - 8ms/step
Epoch 41/1500
313/313 - 2s - loss: 0.2220 - categorical_accuracy: 0.9210 - val_loss: 0.4404 - val_categorical_accuracy: 0.8504 - 2s/epoch - 8ms/step
Epoch 42/1500
313/313 - 2s - loss: 0.2198 - categorical_accuracy: 0.9223 - val_loss: 3.2389 - val_categorical_accuracy: 0.5260 - 2s/epoch - 8ms/step
Epoch 43/1500
313/313 - 2s - loss: 0.2651 - categorical_accuracy: 0.9115 - val_loss: 3.4218 - val_categorical_accuracy: 0.5212 - 2s/epoch - 8ms/step
Epoch 44/1500
313/313 - 2s - loss: 0.3195 - categorical_accuracy: 0.8940 - val_loss: 0.5882 - val_categorical_accuracy: 0.8238 - 2s/epoch - 8ms/step
Epoch 45/1500
313/313 - 2s - loss: 0.2166 - categorical_accuracy: 0.9236 - val_loss: 0.4315 - val_categorical_accuracy: 0.8600 - 2s/epoch - 8ms/step
Epoch 46/1500
313/313 - 2s - loss: 0.2092 - categorical_accuracy: 0.9259 - val_loss: 0.4170 - val_categorical_accuracy: 0.8590 - 2s/epoch - 8ms/step
Epoch 47/1500
313/313 - 2s - loss: 0.2072 - categorical_accuracy: 0.9266 - val_loss: 0.4973 - val_categorical_accuracy: 0.8302 - 2s/epoch - 8ms/step
Epoch 48/1500
313/313 - 2s - loss: 0.2047 - categorical_accuracy: 0.9276 - val_loss: 0.7475 - val_categorical_accuracy: 0.8047 - 2s/epoch - 8ms/step
Epoch 49/1500
313/313 - 2s - loss: 0.2054 - categorical_accuracy: 0.9273 - val_loss: 0.4009 - val_categorical_accuracy: 0.8679 - 2s/epoch - 8ms/step
Epoch 50/1500
313/313 - 2s - loss: 0.2018 - categorical_accuracy: 0.9284 - val_loss: 0.4283 - val_categorical_accuracy: 0.8584 - 2s/epoch - 8ms/step
Epoch 51/1500
313/313 - 2s - loss: 0.2005 - categorical_accuracy: 0.9293 - val_loss: 0.5047 - val_categorical_accuracy: 0.8388 - 2s/epoch - 8ms/step
Epoch 52/1500
313/313 - 3s - loss: 0.1969 - categorical_accuracy: 0.9304 - val_loss: 1.0738 - val_categorical_accuracy: 0.7527 - 3s/epoch - 8ms/step
Epoch 53/1500
313/313 - 2s - loss: 0.2173 - categorical_accuracy: 0.9258 - val_loss: 0.9315 - val_categorical_accuracy: 0.7475 - 2s/epoch - 8ms/step
Epoch 54/1500
313/313 - 2s - loss: 0.1985 - categorical_accuracy: 0.9298 - val_loss: 1.1642 - val_categorical_accuracy: 0.7702 - 2s/epoch - 8ms/step
Epoch 55/1500
313/313 - 2s - loss: 0.1984 - categorical_accuracy: 0.9311 - val_loss: 0.6991 - val_categorical_accuracy: 0.8195 - 2s/epoch - 8ms/step
Epoch 56/1500
313/313 - 2s - loss: 0.1922 - categorical_accuracy: 0.9318 - val_loss: 0.6466 - val_categorical_accuracy: 0.8109 - 2s/epoch - 8ms/step
Epoch 57/1500
313/313 - 2s - loss: 0.1895 - categorical_accuracy: 0.9333 - val_loss: 0.4532 - val_categorical_accuracy: 0.8580 - 2s/epoch - 8ms/step
Epoch 58/1500
313/313 - 2s - loss: 0.1891 - categorical_accuracy: 0.9326 - val_loss: 0.3545 - val_categorical_accuracy: 0.8832 - 2s/epoch - 8ms/step
Epoch 59/1500
313/313 - 2s - loss: 0.1939 - categorical_accuracy: 0.9314 - val_loss: 0.8559 - val_categorical_accuracy: 0.7708 - 2s/epoch - 8ms/step
Epoch 60/1500
313/313 - 2s - loss: 0.1843 - categorical_accuracy: 0.9350 - val_loss: 1.5843 - val_categorical_accuracy: 0.6696 - 2s/epoch - 8ms/step
Epoch 61/1500
313/313 - 2s - loss: 0.2399 - categorical_accuracy: 0.9225 - val_loss: 0.3948 - val_categorical_accuracy: 0.8740 - 2s/epoch - 8ms/step
Epoch 62/1500
313/313 - 2s - loss: 0.1816 - categorical_accuracy: 0.9361 - val_loss: 0.3636 - val_categorical_accuracy: 0.8804 - 2s/epoch - 8ms/step
Epoch 63/1500
313/313 - 2s - loss: 0.1775 - categorical_accuracy: 0.9370 - val_loss: 0.2367 - val_categorical_accuracy: 0.9199 - 2s/epoch - 8ms/step
Epoch 64/1500
313/313 - 2s - loss: 0.1772 - categorical_accuracy: 0.9370 - val_loss: 1.1817 - val_categorical_accuracy: 0.7416 - 2s/epoch - 8ms/step
Epoch 65/1500
313/313 - 2s - loss: 0.1884 - categorical_accuracy: 0.9345 - val_loss: 0.4521 - val_categorical_accuracy: 0.8604 - 2s/epoch - 8ms/step
Epoch 66/1500
313/313 - 2s - loss: 0.1790 - categorical_accuracy: 0.9369 - val_loss: 0.7411 - val_categorical_accuracy: 0.7785 - 2s/epoch - 8ms/step
Epoch 67/1500
313/313 - 2s - loss: 0.1793 - categorical_accuracy: 0.9367 - val_loss: 1.3461 - val_categorical_accuracy: 0.7104 - 2s/epoch - 8ms/step
Epoch 68/1500
313/313 - 2s - loss: 0.1831 - categorical_accuracy: 0.9362 - val_loss: 0.7659 - val_categorical_accuracy: 0.8169 - 2s/epoch - 8ms/step
Epoch 69/1500
313/313 - 2s - loss: 0.1795 - categorical_accuracy: 0.9372 - val_loss: 0.4136 - val_categorical_accuracy: 0.8675 - 2s/epoch - 8ms/step
Epoch 70/1500
313/313 - 2s - loss: 0.1707 - categorical_accuracy: 0.9400 - val_loss: 1.3229 - val_categorical_accuracy: 0.6998 - 2s/epoch - 8ms/step
Epoch 71/1500
313/313 - 2s - loss: 0.2666 - categorical_accuracy: 0.9178 - val_loss: 0.3338 - val_categorical_accuracy: 0.8921 - 2s/epoch - 8ms/step
Epoch 72/1500
313/313 - 2s - loss: 0.1691 - categorical_accuracy: 0.9406 - val_loss: 0.4262 - val_categorical_accuracy: 0.8693 - 2s/epoch - 8ms/step
Epoch 73/1500
313/313 - 2s - loss: 0.1640 - categorical_accuracy: 0.9412 - val_loss: 0.3460 - val_categorical_accuracy: 0.8933 - 2s/epoch - 8ms/step
Epoch 74/1500
313/313 - 2s - loss: 0.1661 - categorical_accuracy: 0.9407 - val_loss: 0.4023 - val_categorical_accuracy: 0.8769 - 2s/epoch - 8ms/step
Epoch 75/1500
313/313 - 2s - loss: 0.1659 - categorical_accuracy: 0.9407 - val_loss: 0.7458 - val_categorical_accuracy: 0.7971 - 2s/epoch - 8ms/step
Epoch 76/1500
313/313 - 2s - loss: 0.1680 - categorical_accuracy: 0.9409 - val_loss: 0.9262 - val_categorical_accuracy: 0.7752 - 2s/epoch - 8ms/step
Epoch 77/1500
313/313 - 2s - loss: 0.1801 - categorical_accuracy: 0.9378 - val_loss: 1.9609 - val_categorical_accuracy: 0.6039 - 2s/epoch - 8ms/step
Epoch 78/1500
313/313 - 2s - loss: 0.2183 - categorical_accuracy: 0.9282 - val_loss: 0.9371 - val_categorical_accuracy: 0.7674 - 2s/epoch - 8ms/step
Epoch 79/1500
313/313 - 2s - loss: 0.1643 - categorical_accuracy: 0.9425 - val_loss: 0.8132 - val_categorical_accuracy: 0.8016 - 2s/epoch - 8ms/step
Epoch 80/1500
313/313 - 2s - loss: 0.1691 - categorical_accuracy: 0.9411 - val_loss: 0.2466 - val_categorical_accuracy: 0.9200 - 2s/epoch - 8ms/step
Epoch 81/1500
313/313 - 2s - loss: 0.1577 - categorical_accuracy: 0.9437 - val_loss: 0.3127 - val_categorical_accuracy: 0.8996 - 2s/epoch - 8ms/step
Epoch 82/1500
313/313 - 2s - loss: 0.1544 - categorical_accuracy: 0.9454 - val_loss: 0.5041 - val_categorical_accuracy: 0.8497 - 2s/epoch - 8ms/step
Epoch 83/1500
313/313 - 2s - loss: 0.1596 - categorical_accuracy: 0.9432 - val_loss: 0.6289 - val_categorical_accuracy: 0.8154 - 2s/epoch - 8ms/step
Epoch 84/1500
313/313 - 2s - loss: 0.1603 - categorical_accuracy: 0.9436 - val_loss: 0.4665 - val_categorical_accuracy: 0.8578 - 2s/epoch - 8ms/step
Epoch 85/1500
313/313 - 2s - loss: 0.1561 - categorical_accuracy: 0.9444 - val_loss: 0.5941 - val_categorical_accuracy: 0.8388 - 2s/epoch - 8ms/step
Epoch 86/1500
313/313 - 2s - loss: 0.1569 - categorical_accuracy: 0.9446 - val_loss: 0.5236 - val_categorical_accuracy: 0.8443 - 2s/epoch - 8ms/step
Epoch 87/1500
313/313 - 2s - loss: 0.1589 - categorical_accuracy: 0.9435 - val_loss: 0.5866 - val_categorical_accuracy: 0.8281 - 2s/epoch - 8ms/step
Epoch 88/1500
313/313 - 2s - loss: 0.1596 - categorical_accuracy: 0.9438 - val_loss: 1.0334 - val_categorical_accuracy: 0.7786 - 2s/epoch - 8ms/step
Epoch 89/1500
313/313 - 2s - loss: 0.1835 - categorical_accuracy: 0.9379 - val_loss: 0.2627 - val_categorical_accuracy: 0.9158 - 2s/epoch - 8ms/step
Epoch 90/1500
313/313 - 2s - loss: 0.1481 - categorical_accuracy: 0.9477 - val_loss: 0.4004 - val_categorical_accuracy: 0.8772 - 2s/epoch - 8ms/step
Epoch 91/1500
313/313 - 2s - loss: 0.1490 - categorical_accuracy: 0.9472 - val_loss: 0.4842 - val_categorical_accuracy: 0.8615 - 2s/epoch - 8ms/step
Epoch 92/1500
313/313 - 2s - loss: 0.1529 - categorical_accuracy: 0.9459 - val_loss: 0.5140 - val_categorical_accuracy: 0.8539 - 2s/epoch - 8ms/step
Epoch 93/1500
313/313 - 2s - loss: 0.1564 - categorical_accuracy: 0.9449 - val_loss: 0.3964 - val_categorical_accuracy: 0.8733 - 2s/epoch - 8ms/step
Epoch 94/1500
313/313 - 2s - loss: 0.1507 - categorical_accuracy: 0.9462 - val_loss: 0.2991 - val_categorical_accuracy: 0.9054 - 2s/epoch - 8ms/step
Epoch 95/1500
313/313 - 2s - loss: 0.1447 - categorical_accuracy: 0.9487 - val_loss: 0.4628 - val_categorical_accuracy: 0.8577 - 2s/epoch - 8ms/step
Epoch 96/1500
313/313 - 2s - loss: 0.1521 - categorical_accuracy: 0.9462 - val_loss: 0.5477 - val_categorical_accuracy: 0.8500 - 2s/epoch - 8ms/step
Epoch 97/1500
313/313 - 2s - loss: 0.1509 - categorical_accuracy: 0.9470 - val_loss: 0.5280 - val_categorical_accuracy: 0.8515 - 2s/epoch - 8ms/step
Epoch 98/1500
313/313 - 2s - loss: 0.1481 - categorical_accuracy: 0.9475 - val_loss: 0.2464 - val_categorical_accuracy: 0.9237 - 2s/epoch - 8ms/step
Epoch 99/1500
313/313 - 2s - loss: 0.1455 - categorical_accuracy: 0.9484 - val_loss: 0.4323 - val_categorical_accuracy: 0.8728 - 2s/epoch - 8ms/step
Epoch 100/1500
313/313 - 2s - loss: 0.1458 - categorical_accuracy: 0.9485 - val_loss: 0.2725 - val_categorical_accuracy: 0.9182 - 2s/epoch - 8ms/step
Epoch 101/1500
313/313 - 2s - loss: 0.1449 - categorical_accuracy: 0.9484 - val_loss: 0.6225 - val_categorical_accuracy: 0.8257 - 2s/epoch - 8ms/step
Epoch 102/1500
313/313 - 2s - loss: 0.1496 - categorical_accuracy: 0.9476 - val_loss: 0.2657 - val_categorical_accuracy: 0.9164 - 2s/epoch - 8ms/step
Epoch 103/1500
313/313 - 2s - loss: 0.1441 - categorical_accuracy: 0.9485 - val_loss: 0.7433 - val_categorical_accuracy: 0.8202 - 2s/epoch - 8ms/step
Epoch 104/1500
313/313 - 2s - loss: 0.1545 - categorical_accuracy: 0.9461 - val_loss: 0.3569 - val_categorical_accuracy: 0.8884 - 2s/epoch - 8ms/step
Epoch 105/1500
313/313 - 2s - loss: 0.1442 - categorical_accuracy: 0.9490 - val_loss: 0.6592 - val_categorical_accuracy: 0.8185 - 2s/epoch - 8ms/step
Epoch 106/1500
313/313 - 2s - loss: 0.1479 - categorical_accuracy: 0.9490 - val_loss: 0.4418 - val_categorical_accuracy: 0.8782 - 2s/epoch - 8ms/step
Epoch 107/1500
313/313 - 2s - loss: 0.1436 - categorical_accuracy: 0.9495 - val_loss: 1.4183 - val_categorical_accuracy: 0.7324 - 2s/epoch - 8ms/step
Epoch 108/1500
313/313 - 2s - loss: 0.1530 - categorical_accuracy: 0.9473 - val_loss: 2.3252 - val_categorical_accuracy: 0.6475 - 2s/epoch - 8ms/step
Epoch 109/1500
313/313 - 2s - loss: 0.2540 - categorical_accuracy: 0.9238 - val_loss: 0.8993 - val_categorical_accuracy: 0.8017 - 2s/epoch - 8ms/step
Epoch 110/1500
313/313 - 2s - loss: 0.1434 - categorical_accuracy: 0.9495 - val_loss: 1.0352 - val_categorical_accuracy: 0.7614 - 2s/epoch - 8ms/step
Epoch 111/1500
313/313 - 2s - loss: 0.1544 - categorical_accuracy: 0.9477 - val_loss: 0.4297 - val_categorical_accuracy: 0.8695 - 2s/epoch - 7ms/step
Epoch 112/1500
313/313 - 2s - loss: 0.1376 - categorical_accuracy: 0.9512 - val_loss: 1.7733 - val_categorical_accuracy: 0.6617 - 2s/epoch - 8ms/step
Epoch 113/1500
313/313 - 2s - loss: 0.1659 - categorical_accuracy: 0.9456 - val_loss: 0.4814 - val_categorical_accuracy: 0.8668 - 2s/epoch - 8ms/step
Epoch 114/1500
313/313 - 2s - loss: 0.1360 - categorical_accuracy: 0.9517 - val_loss: 3.2588 - val_categorical_accuracy: 0.5797 - 2s/epoch - 8ms/step
Epoch 115/1500
313/313 - 2s - loss: 0.2068 - categorical_accuracy: 0.9351 - val_loss: 0.5084 - val_categorical_accuracy: 0.8607 - 2s/epoch - 8ms/step
Epoch 116/1500
313/313 - 2s - loss: 0.1370 - categorical_accuracy: 0.9511 - val_loss: 0.4315 - val_categorical_accuracy: 0.8780 - 2s/epoch - 8ms/step
Epoch 117/1500
313/313 - 2s - loss: 0.1343 - categorical_accuracy: 0.9529 - val_loss: 1.0829 - val_categorical_accuracy: 0.7589 - 2s/epoch - 8ms/step
Epoch 118/1500
313/313 - 2s - loss: 0.1456 - categorical_accuracy: 0.9491 - val_loss: 0.3458 - val_categorical_accuracy: 0.8997 - 2s/epoch - 8ms/step
Epoch 119/1500
313/313 - 2s - loss: 0.1313 - categorical_accuracy: 0.9532 - val_loss: 2.0239 - val_categorical_accuracy: 0.6361 - 2s/epoch - 8ms/step
Epoch 120/1500
313/313 - 2s - loss: 0.2837 - categorical_accuracy: 0.9142 - val_loss: 0.4707 - val_categorical_accuracy: 0.8543 - 2s/epoch - 8ms/step
Epoch 121/1500
313/313 - 2s - loss: 0.1363 - categorical_accuracy: 0.9515 - val_loss: 0.2865 - val_categorical_accuracy: 0.9125 - 2s/epoch - 8ms/step
Epoch 122/1500
313/313 - 2s - loss: 0.1335 - categorical_accuracy: 0.9530 - val_loss: 0.3844 - val_categorical_accuracy: 0.8799 - 2s/epoch - 8ms/step
Epoch 123/1500
313/313 - 2s - loss: 0.1304 - categorical_accuracy: 0.9541 - val_loss: 0.5256 - val_categorical_accuracy: 0.8464 - 2s/epoch - 8ms/step
Epoch 124/1500
313/313 - 2s - loss: 0.1343 - categorical_accuracy: 0.9525 - val_loss: 0.6075 - val_categorical_accuracy: 0.8439 - 2s/epoch - 8ms/step
Epoch 125/1500
313/313 - 2s - loss: 0.1304 - categorical_accuracy: 0.9539 - val_loss: 0.4665 - val_categorical_accuracy: 0.8663 - 2s/epoch - 8ms/step
Epoch 126/1500
313/313 - 2s - loss: 0.1310 - categorical_accuracy: 0.9537 - val_loss: 0.2772 - val_categorical_accuracy: 0.9171 - 2s/epoch - 7ms/step
Epoch 127/1500
313/313 - 2s - loss: 0.1284 - categorical_accuracy: 0.9540 - val_loss: 0.4224 - val_categorical_accuracy: 0.8767 - 2s/epoch - 8ms/step
Epoch 128/1500
313/313 - 2s - loss: 0.1308 - categorical_accuracy: 0.9539 - val_loss: 1.9836 - val_categorical_accuracy: 0.6731 - 2s/epoch - 8ms/step
Epoch 129/1500
313/313 - 2s - loss: 0.1870 - categorical_accuracy: 0.9408 - val_loss: 1.5453 - val_categorical_accuracy: 0.7179 - 2s/epoch - 7ms/step
Epoch 130/1500
313/313 - 2s - loss: 0.1559 - categorical_accuracy: 0.9489 - val_loss: 0.3154 - val_categorical_accuracy: 0.9001 - 2s/epoch - 8ms/step
Epoch 131/1500
313/313 - 2s - loss: 0.1279 - categorical_accuracy: 0.9547 - val_loss: 0.5065 - val_categorical_accuracy: 0.8485 - 2s/epoch - 8ms/step
Epoch 132/1500
313/313 - 2s - loss: 0.1300 - categorical_accuracy: 0.9538 - val_loss: 0.4319 - val_categorical_accuracy: 0.8785 - 2s/epoch - 7ms/step
Epoch 133/1500
313/313 - 2s - loss: 0.1264 - categorical_accuracy: 0.9549 - val_loss: 0.3656 - val_categorical_accuracy: 0.8947 - 2s/epoch - 8ms/step
Epoch 134/1500
313/313 - 2s - loss: 0.1287 - categorical_accuracy: 0.9542 - val_loss: 0.2587 - val_categorical_accuracy: 0.9212 - 2s/epoch - 8ms/step
Epoch 135/1500
313/313 - 2s - loss: 0.1268 - categorical_accuracy: 0.9551 - val_loss: 0.2641 - val_categorical_accuracy: 0.9204 - 2s/epoch - 8ms/step
Epoch 136/1500
313/313 - 2s - loss: 0.1243 - categorical_accuracy: 0.9557 - val_loss: 0.2331 - val_categorical_accuracy: 0.9302 - 2s/epoch - 8ms/step
Epoch 137/1500
313/313 - 2s - loss: 0.1238 - categorical_accuracy: 0.9563 - val_loss: 1.7909 - val_categorical_accuracy: 0.7183 - 2s/epoch - 7ms/step
Epoch 138/1500
313/313 - 2s - loss: 0.1445 - categorical_accuracy: 0.9505 - val_loss: 1.0028 - val_categorical_accuracy: 0.8254 - 2s/epoch - 7ms/step
Epoch 139/1500
313/313 - 2s - loss: 0.1306 - categorical_accuracy: 0.9551 - val_loss: 0.3631 - val_categorical_accuracy: 0.8936 - 2s/epoch - 8ms/step
Epoch 140/1500
313/313 - 2s - loss: 0.1270 - categorical_accuracy: 0.9551 - val_loss: 0.4083 - val_categorical_accuracy: 0.8867 - 2s/epoch - 8ms/step
Epoch 141/1500
313/313 - 2s - loss: 0.1258 - categorical_accuracy: 0.9556 - val_loss: 0.3708 - val_categorical_accuracy: 0.8952 - 2s/epoch - 8ms/step
Epoch 142/1500
313/313 - 2s - loss: 0.1225 - categorical_accuracy: 0.9564 - val_loss: 0.9314 - val_categorical_accuracy: 0.8025 - 2s/epoch - 7ms/step
Epoch 143/1500
313/313 - 2s - loss: 0.1322 - categorical_accuracy: 0.9543 - val_loss: 0.3143 - val_categorical_accuracy: 0.9190 - 2s/epoch - 8ms/step
Epoch 144/1500
313/313 - 2s - loss: 0.1230 - categorical_accuracy: 0.9569 - val_loss: 1.1248 - val_categorical_accuracy: 0.7627 - 2s/epoch - 8ms/step
Epoch 145/1500
313/313 - 2s - loss: 0.1400 - categorical_accuracy: 0.9528 - val_loss: 0.4208 - val_categorical_accuracy: 0.8906 - 2s/epoch - 8ms/step
Epoch 146/1500
313/313 - 2s - loss: 0.1219 - categorical_accuracy: 0.9566 - val_loss: 0.3445 - val_categorical_accuracy: 0.8967 - 2s/epoch - 8ms/step
Epoch 147/1500
313/313 - 2s - loss: 0.1222 - categorical_accuracy: 0.9568 - val_loss: 2.1441 - val_categorical_accuracy: 0.6771 - 2s/epoch - 8ms/step
Epoch 148/1500
313/313 - 2s - loss: 0.3936 - categorical_accuracy: 0.8870 - val_loss: 0.5027 - val_categorical_accuracy: 0.8575 - 2s/epoch - 7ms/step
Epoch 149/1500
313/313 - 2s - loss: 0.1466 - categorical_accuracy: 0.9476 - val_loss: 0.3576 - val_categorical_accuracy: 0.8965 - 2s/epoch - 8ms/step
Epoch 150/1500
313/313 - 2s - loss: 0.1343 - categorical_accuracy: 0.9519 - val_loss: 1.7527 - val_categorical_accuracy: 0.6997 - 2s/epoch - 7ms/step
Epoch 151/1500
313/313 - 2s - loss: 0.1668 - categorical_accuracy: 0.9456 - val_loss: 0.4059 - val_categorical_accuracy: 0.8827 - 2s/epoch - 8ms/step
Epoch 152/1500
313/313 - 2s - loss: 0.1241 - categorical_accuracy: 0.9559 - val_loss: 0.3527 - val_categorical_accuracy: 0.8943 - 2s/epoch - 8ms/step
Epoch 153/1500
313/313 - 2s - loss: 0.1246 - categorical_accuracy: 0.9557 - val_loss: 0.7330 - val_categorical_accuracy: 0.8188 - 2s/epoch - 8ms/step
Epoch 154/1500
313/313 - 2s - loss: 0.1330 - categorical_accuracy: 0.9535 - val_loss: 0.6372 - val_categorical_accuracy: 0.8497 - 2s/epoch - 8ms/step
Epoch 155/1500
313/313 - 2s - loss: 0.1249 - categorical_accuracy: 0.9559 - val_loss: 0.5070 - val_categorical_accuracy: 0.8573 - 2s/epoch - 7ms/step
Epoch 156/1500
313/313 - 2s - loss: 0.1253 - categorical_accuracy: 0.9561 - val_loss: 0.3400 - val_categorical_accuracy: 0.9043 - 2s/epoch - 8ms/step
Epoch 157/1500
313/313 - 2s - loss: 0.1225 - categorical_accuracy: 0.9561 - val_loss: 0.3031 - val_categorical_accuracy: 0.9133 - 2s/epoch - 8ms/step
Epoch 158/1500
313/313 - 2s - loss: 0.1212 - categorical_accuracy: 0.9571 - val_loss: 0.4386 - val_categorical_accuracy: 0.8768 - 2s/epoch - 8ms/step
Epoch 159/1500
313/313 - 2s - loss: 0.1193 - categorical_accuracy: 0.9577 - val_loss: 0.5356 - val_categorical_accuracy: 0.8750 - 2s/epoch - 7ms/step
Epoch 160/1500
313/313 - 2s - loss: 0.1249 - categorical_accuracy: 0.9561 - val_loss: 1.0624 - val_categorical_accuracy: 0.8007 - 2s/epoch - 8ms/step
Epoch 161/1500
313/313 - 2s - loss: 0.1282 - categorical_accuracy: 0.9555 - val_loss: 1.1406 - val_categorical_accuracy: 0.7402 - 2s/epoch - 8ms/step
Epoch 162/1500
313/313 - 2s - loss: 0.1321 - categorical_accuracy: 0.9552 - val_loss: 0.5958 - val_categorical_accuracy: 0.8463 - 2s/epoch - 8ms/step
Epoch 163/1500
313/313 - 2s - loss: 0.1237 - categorical_accuracy: 0.9566 - val_loss: 0.3450 - val_categorical_accuracy: 0.9003 - 2s/epoch - 8ms/step
Epoch 164/1500
313/313 - 2s - loss: 0.1172 - categorical_accuracy: 0.9581 - val_loss: 0.7307 - val_categorical_accuracy: 0.8266 - 2s/epoch - 7ms/step
Epoch 165/1500
313/313 - 2s - loss: 0.1231 - categorical_accuracy: 0.9572 - val_loss: 0.5547 - val_categorical_accuracy: 0.8600 - 2s/epoch - 7ms/step
Epoch 166/1500
313/313 - 2s - loss: 0.1204 - categorical_accuracy: 0.9577 - val_loss: 0.9801 - val_categorical_accuracy: 0.7740 - 2s/epoch - 8ms/step
Epoch 167/1500
313/313 - 2s - loss: 0.1249 - categorical_accuracy: 0.9562 - val_loss: 0.3793 - val_categorical_accuracy: 0.8935 - 2s/epoch - 7ms/step
Epoch 168/1500
313/313 - 2s - loss: 0.1166 - categorical_accuracy: 0.9587 - val_loss: 0.2548 - val_categorical_accuracy: 0.9315 - 2s/epoch - 8ms/step
Epoch 169/1500
313/313 - 2s - loss: 0.1151 - categorical_accuracy: 0.9588 - val_loss: 0.2977 - val_categorical_accuracy: 0.9175 - 2s/epoch - 7ms/step
Epoch 170/1500
313/313 - 2s - loss: 0.1143 - categorical_accuracy: 0.9595 - val_loss: 0.3239 - val_categorical_accuracy: 0.9057 - 2s/epoch - 7ms/step
Epoch 171/1500
313/313 - 2s - loss: 0.1156 - categorical_accuracy: 0.9587 - val_loss: 0.9214 - val_categorical_accuracy: 0.7807 - 2s/epoch - 8ms/step
Epoch 172/1500
313/313 - 2s - loss: 0.1245 - categorical_accuracy: 0.9567 - val_loss: 0.4672 - val_categorical_accuracy: 0.8804 - 2s/epoch - 7ms/step
Epoch 173/1500
313/313 - 2s - loss: 0.1174 - categorical_accuracy: 0.9582 - val_loss: 0.7126 - val_categorical_accuracy: 0.8350 - 2s/epoch - 8ms/step
Epoch 174/1500
313/313 - 2s - loss: 0.1174 - categorical_accuracy: 0.9587 - val_loss: 2.3652 - val_categorical_accuracy: 0.6128 - 2s/epoch - 8ms/step
Epoch 175/1500
313/313 - 2s - loss: 0.2050 - categorical_accuracy: 0.9399 - val_loss: 0.7101 - val_categorical_accuracy: 0.8212 - 2s/epoch - 8ms/step
Epoch 176/1500
313/313 - 2s - loss: 0.1231 - categorical_accuracy: 0.9568 - val_loss: 0.2892 - val_categorical_accuracy: 0.9160 - 2s/epoch - 7ms/step
Epoch 177/1500
313/313 - 2s - loss: 0.1132 - categorical_accuracy: 0.9596 - val_loss: 0.2856 - val_categorical_accuracy: 0.9169 - 2s/epoch - 8ms/step
Epoch 178/1500
313/313 - 2s - loss: 0.1139 - categorical_accuracy: 0.9597 - val_loss: 0.2818 - val_categorical_accuracy: 0.9203 - 2s/epoch - 8ms/step
Epoch 179/1500
313/313 - 2s - loss: 0.1088 - categorical_accuracy: 0.9617 - val_loss: 0.6285 - val_categorical_accuracy: 0.8446 - 2s/epoch - 8ms/step
Epoch 180/1500
313/313 - 2s - loss: 0.1173 - categorical_accuracy: 0.9587 - val_loss: 0.3171 - val_categorical_accuracy: 0.9115 - 2s/epoch - 7ms/step
Epoch 181/1500
313/313 - 2s - loss: 0.1125 - categorical_accuracy: 0.9602 - val_loss: 0.2341 - val_categorical_accuracy: 0.9330 - 2s/epoch - 7ms/step
Epoch 182/1500
313/313 - 2s - loss: 0.1128 - categorical_accuracy: 0.9601 - val_loss: 0.2318 - val_categorical_accuracy: 0.9340 - 2s/epoch - 8ms/step
Epoch 183/1500
313/313 - 2s - loss: 0.1079 - categorical_accuracy: 0.9620 - val_loss: 0.9364 - val_categorical_accuracy: 0.8049 - 2s/epoch - 8ms/step
Epoch 184/1500
313/313 - 2s - loss: 0.1199 - categorical_accuracy: 0.9584 - val_loss: 0.3205 - val_categorical_accuracy: 0.9176 - 2s/epoch - 7ms/step
Epoch 185/1500
313/313 - 2s - loss: 0.1112 - categorical_accuracy: 0.9607 - val_loss: 1.3423 - val_categorical_accuracy: 0.7161 - 2s/epoch - 8ms/step
Epoch 186/1500
313/313 - 2s - loss: 0.1451 - categorical_accuracy: 0.9536 - val_loss: 0.5313 - val_categorical_accuracy: 0.8703 - 2s/epoch - 7ms/step
Epoch 187/1500
313/313 - 2s - loss: 0.1121 - categorical_accuracy: 0.9611 - val_loss: 0.8530 - val_categorical_accuracy: 0.7991 - 2s/epoch - 8ms/step
Epoch 188/1500
313/313 - 2s - loss: 0.1227 - categorical_accuracy: 0.9585 - val_loss: 0.8297 - val_categorical_accuracy: 0.8293 - 2s/epoch - 8ms/step
Epoch 189/1500
313/313 - 2s - loss: 0.1216 - categorical_accuracy: 0.9575 - val_loss: 0.4374 - val_categorical_accuracy: 0.8922 - 2s/epoch - 7ms/step
Epoch 190/1500
313/313 - 2s - loss: 0.1121 - categorical_accuracy: 0.9604 - val_loss: 0.7409 - val_categorical_accuracy: 0.8547 - 2s/epoch - 8ms/step
Epoch 191/1500
313/313 - 2s - loss: 0.1161 - categorical_accuracy: 0.9592 - val_loss: 2.0064 - val_categorical_accuracy: 0.7282 - 2s/epoch - 8ms/step
Epoch 192/1500
313/313 - 2s - loss: 0.1320 - categorical_accuracy: 0.9567 - val_loss: 1.1505 - val_categorical_accuracy: 0.7718 - 2s/epoch - 7ms/step
Epoch 193/1500
313/313 - 2s - loss: 0.1368 - categorical_accuracy: 0.9557 - val_loss: 0.4773 - val_categorical_accuracy: 0.8782 - 2s/epoch - 7ms/step
Epoch 194/1500
313/313 - 2s - loss: 0.1107 - categorical_accuracy: 0.9612 - val_loss: 0.2451 - val_categorical_accuracy: 0.9325 - 2s/epoch - 8ms/step
Epoch 195/1500
313/313 - 2s - loss: 0.1062 - categorical_accuracy: 0.9624 - val_loss: 1.2535 - val_categorical_accuracy: 0.7516 - 2s/epoch - 8ms/step
Epoch 196/1500
313/313 - 2s - loss: 0.1308 - categorical_accuracy: 0.9571 - val_loss: 0.2627 - val_categorical_accuracy: 0.9296 - 2s/epoch - 8ms/step
Epoch 197/1500
313/313 - 2s - loss: 0.1064 - categorical_accuracy: 0.9626 - val_loss: 0.3831 - val_categorical_accuracy: 0.9020 - 2s/epoch - 7ms/step
Epoch 198/1500
313/313 - 2s - loss: 0.1087 - categorical_accuracy: 0.9615 - val_loss: 1.1453 - val_categorical_accuracy: 0.7904 - 2s/epoch - 7ms/step
Epoch 199/1500
313/313 - 2s - loss: 0.1206 - categorical_accuracy: 0.9596 - val_loss: 0.3054 - val_categorical_accuracy: 0.9181 - 2s/epoch - 8ms/step
Epoch 200/1500
313/313 - 2s - loss: 0.1046 - categorical_accuracy: 0.9630 - val_loss: 0.5199 - val_categorical_accuracy: 0.8781 - 2s/epoch - 7ms/step
Epoch 201/1500
313/313 - 2s - loss: 0.1072 - categorical_accuracy: 0.9620 - val_loss: 1.0038 - val_categorical_accuracy: 0.7851 - 2s/epoch - 7ms/step
Epoch 202/1500
313/313 - 2s - loss: 0.1184 - categorical_accuracy: 0.9593 - val_loss: 0.4425 - val_categorical_accuracy: 0.8848 - 2s/epoch - 8ms/step
Epoch 203/1500
313/313 - 2s - loss: 0.1065 - categorical_accuracy: 0.9629 - val_loss: 0.3567 - val_categorical_accuracy: 0.8958 - 2s/epoch - 8ms/step
Epoch 204/1500
313/313 - 2s - loss: 0.1087 - categorical_accuracy: 0.9616 - val_loss: 1.0240 - val_categorical_accuracy: 0.7862 - 2s/epoch - 8ms/step
Epoch 205/1500
313/313 - 2s - loss: 0.1156 - categorical_accuracy: 0.9605 - val_loss: 0.3188 - val_categorical_accuracy: 0.9241 - 2s/epoch - 8ms/step
Epoch 206/1500
313/313 - 2s - loss: 0.1067 - categorical_accuracy: 0.9621 - val_loss: 0.2927 - val_categorical_accuracy: 0.9174 - 2s/epoch - 7ms/step
Epoch 207/1500
313/313 - 2s - loss: 0.1050 - categorical_accuracy: 0.9631 - val_loss: 1.2068 - val_categorical_accuracy: 0.7517 - 2s/epoch - 7ms/step
Epoch 208/1500
313/313 - 2s - loss: 0.1166 - categorical_accuracy: 0.9605 - val_loss: 0.4267 - val_categorical_accuracy: 0.8875 - 2s/epoch - 8ms/step
Epoch 209/1500
313/313 - 2s - loss: 0.1046 - categorical_accuracy: 0.9631 - val_loss: 1.4707 - val_categorical_accuracy: 0.7396 - 2s/epoch - 8ms/step
Epoch 210/1500
313/313 - 2s - loss: 0.1352 - categorical_accuracy: 0.9564 - val_loss: 0.3973 - val_categorical_accuracy: 0.8904 - 2s/epoch - 7ms/step
Epoch 211/1500
313/313 - 2s - loss: 0.1045 - categorical_accuracy: 0.9631 - val_loss: 0.2716 - val_categorical_accuracy: 0.9276 - 2s/epoch - 7ms/step
Epoch 212/1500
313/313 - 2s - loss: 0.1039 - categorical_accuracy: 0.9633 - val_loss: 0.4578 - val_categorical_accuracy: 0.8856 - 2s/epoch - 7ms/step
Epoch 213/1500
313/313 - 2s - loss: 0.1093 - categorical_accuracy: 0.9613 - val_loss: 0.6532 - val_categorical_accuracy: 0.8377 - 2s/epoch - 8ms/step
Epoch 214/1500
313/313 - 2s - loss: 0.1084 - categorical_accuracy: 0.9620 - val_loss: 0.2682 - val_categorical_accuracy: 0.9302 - 2s/epoch - 7ms/step
Epoch 215/1500
313/313 - 2s - loss: 0.1023 - categorical_accuracy: 0.9642 - val_loss: 0.3082 - val_categorical_accuracy: 0.9139 - 2s/epoch - 7ms/step
Epoch 216/1500
313/313 - 2s - loss: 0.1071 - categorical_accuracy: 0.9620 - val_loss: 0.7748 - val_categorical_accuracy: 0.8243 - 2s/epoch - 8ms/step
Epoch 217/1500
313/313 - 2s - loss: 0.1120 - categorical_accuracy: 0.9612 - val_loss: 0.3908 - val_categorical_accuracy: 0.9044 - 2s/epoch - 7ms/step
Epoch 218/1500
313/313 - 2s - loss: 0.1058 - categorical_accuracy: 0.9629 - val_loss: 0.2844 - val_categorical_accuracy: 0.9238 - 2s/epoch - 7ms/step
Epoch 219/1500
313/313 - 2s - loss: 0.1050 - categorical_accuracy: 0.9630 - val_loss: 0.2566 - val_categorical_accuracy: 0.9342 - 2s/epoch - 8ms/step
Epoch 220/1500
313/313 - 2s - loss: 0.1014 - categorical_accuracy: 0.9644 - val_loss: 1.2269 - val_categorical_accuracy: 0.7602 - 2s/epoch - 7ms/step
Epoch 221/1500
313/313 - 2s - loss: 0.1279 - categorical_accuracy: 0.9573 - val_loss: 0.8731 - val_categorical_accuracy: 0.8228 - 2s/epoch - 7ms/step
Epoch 222/1500
313/313 - 2s - loss: 0.1114 - categorical_accuracy: 0.9612 - val_loss: 0.5195 - val_categorical_accuracy: 0.8718 - 2s/epoch - 7ms/step
Epoch 223/1500
313/313 - 2s - loss: 0.1042 - categorical_accuracy: 0.9633 - val_loss: 0.4002 - val_categorical_accuracy: 0.9002 - 2s/epoch - 7ms/step
Epoch 224/1500
313/313 - 2s - loss: 0.1021 - categorical_accuracy: 0.9646 - val_loss: 0.4184 - val_categorical_accuracy: 0.8885 - 2s/epoch - 7ms/step
Epoch 225/1500
313/313 - 2s - loss: 0.1047 - categorical_accuracy: 0.9630 - val_loss: 0.2713 - val_categorical_accuracy: 0.9295 - 2s/epoch - 8ms/step
Epoch 226/1500
313/313 - 2s - loss: 0.1000 - categorical_accuracy: 0.9648 - val_loss: 0.2767 - val_categorical_accuracy: 0.9298 - 2s/epoch - 7ms/step
Epoch 227/1500
313/313 - 2s - loss: 0.1010 - categorical_accuracy: 0.9646 - val_loss: 0.3941 - val_categorical_accuracy: 0.8942 - 2s/epoch - 7ms/step
Epoch 228/1500
313/313 - 2s - loss: 0.1050 - categorical_accuracy: 0.9627 - val_loss: 0.5433 - val_categorical_accuracy: 0.8688 - 2s/epoch - 7ms/step
Epoch 229/1500
313/313 - 2s - loss: 0.1096 - categorical_accuracy: 0.9617 - val_loss: 0.8854 - val_categorical_accuracy: 0.8130 - 2s/epoch - 8ms/step
Epoch 230/1500
313/313 - 2s - loss: 0.1157 - categorical_accuracy: 0.9609 - val_loss: 0.4052 - val_categorical_accuracy: 0.8913 - 2s/epoch - 7ms/step
Epoch 231/1500
313/313 - 2s - loss: 0.1028 - categorical_accuracy: 0.9633 - val_loss: 0.3889 - val_categorical_accuracy: 0.8978 - 2s/epoch - 7ms/step
Epoch 232/1500
313/313 - 2s - loss: 0.1019 - categorical_accuracy: 0.9646 - val_loss: 0.3865 - val_categorical_accuracy: 0.9062 - 2s/epoch - 7ms/step
Epoch 233/1500
313/313 - 2s - loss: 0.1000 - categorical_accuracy: 0.9648 - val_loss: 1.7293 - val_categorical_accuracy: 0.7341 - 2s/epoch - 8ms/step
Epoch 234/1500
313/313 - 2s - loss: 0.1207 - categorical_accuracy: 0.9593 - val_loss: 1.0649 - val_categorical_accuracy: 0.7967 - 2s/epoch - 8ms/step
Epoch 235/1500
313/313 - 2s - loss: 0.1635 - categorical_accuracy: 0.9495 - val_loss: 0.2599 - val_categorical_accuracy: 0.9299 - 2s/epoch - 7ms/step
Epoch 236/1500
313/313 - 2s - loss: 0.1008 - categorical_accuracy: 0.9639 - val_loss: 1.2262 - val_categorical_accuracy: 0.7623 - 2s/epoch - 8ms/step
Epoch 237/1500
313/313 - 2s - loss: 0.1137 - categorical_accuracy: 0.9612 - val_loss: 0.2485 - val_categorical_accuracy: 0.9316 - 2s/epoch - 8ms/step
Epoch 238/1500
313/313 - 2s - loss: 0.0964 - categorical_accuracy: 0.9655 - val_loss: 0.3793 - val_categorical_accuracy: 0.8913 - 2s/epoch - 7ms/step
Epoch 239/1500
313/313 - 2s - loss: 0.1023 - categorical_accuracy: 0.9641 - val_loss: 0.3622 - val_categorical_accuracy: 0.9022 - 2s/epoch - 8ms/step
Epoch 240/1500
313/313 - 2s - loss: 0.1025 - categorical_accuracy: 0.9640 - val_loss: 0.3647 - val_categorical_accuracy: 0.9130 - 2s/epoch - 7ms/step
Epoch 241/1500
313/313 - 2s - loss: 0.0989 - categorical_accuracy: 0.9651 - val_loss: 0.9231 - val_categorical_accuracy: 0.8090 - 2s/epoch - 7ms/step
Epoch 242/1500
313/313 - 2s - loss: 0.1081 - categorical_accuracy: 0.9625 - val_loss: 1.2840 - val_categorical_accuracy: 0.7888 - 2s/epoch - 8ms/step
Epoch 243/1500
313/313 - 2s - loss: 0.1125 - categorical_accuracy: 0.9615 - val_loss: 1.3352 - val_categorical_accuracy: 0.7779 - 2s/epoch - 7ms/step
Epoch 244/1500
313/313 - 2s - loss: 0.1159 - categorical_accuracy: 0.9603 - val_loss: 0.3176 - val_categorical_accuracy: 0.9115 - 2s/epoch - 7ms/step
Epoch 245/1500
313/313 - 2s - loss: 0.0980 - categorical_accuracy: 0.9656 - val_loss: 0.2688 - val_categorical_accuracy: 0.9339 - 2s/epoch - 7ms/step
Epoch 246/1500
313/313 - 2s - loss: 0.0964 - categorical_accuracy: 0.9662 - val_loss: 0.3339 - val_categorical_accuracy: 0.9183 - 2s/epoch - 8ms/step
Epoch 247/1500
313/313 - 2s - loss: 0.0977 - categorical_accuracy: 0.9652 - val_loss: 0.2939 - val_categorical_accuracy: 0.9246 - 2s/epoch - 7ms/step
Epoch 248/1500
313/313 - 2s - loss: 0.0988 - categorical_accuracy: 0.9651 - val_loss: 0.4791 - val_categorical_accuracy: 0.8748 - 2s/epoch - 8ms/step
Epoch 249/1500
313/313 - 2s - loss: 0.1040 - categorical_accuracy: 0.9637 - val_loss: 0.5951 - val_categorical_accuracy: 0.8678 - 2s/epoch - 7ms/step
Epoch 250/1500
313/313 - 2s - loss: 0.1046 - categorical_accuracy: 0.9635 - val_loss: 1.2497 - val_categorical_accuracy: 0.7718 - 2s/epoch - 8ms/step
Epoch 251/1500
313/313 - 2s - loss: 0.1252 - categorical_accuracy: 0.9582 - val_loss: 0.9360 - val_categorical_accuracy: 0.8095 - 2s/epoch - 7ms/step
Epoch 252/1500
313/313 - 2s - loss: 0.1107 - categorical_accuracy: 0.9613 - val_loss: 0.2568 - val_categorical_accuracy: 0.9309 - 2s/epoch - 7ms/step
Epoch 253/1500
313/313 - 2s - loss: 0.0987 - categorical_accuracy: 0.9649 - val_loss: 0.7290 - val_categorical_accuracy: 0.8597 - 2s/epoch - 7ms/step
Epoch 254/1500
313/313 - 2s - loss: 0.1872 - categorical_accuracy: 0.9463 - val_loss: 0.4514 - val_categorical_accuracy: 0.8823 - 2s/epoch - 8ms/step
Epoch 255/1500
313/313 - 2s - loss: 0.0998 - categorical_accuracy: 0.9649 - val_loss: 0.5107 - val_categorical_accuracy: 0.8787 - 2s/epoch - 8ms/step
Epoch 256/1500
313/313 - 2s - loss: 0.0951 - categorical_accuracy: 0.9661 - val_loss: 0.3128 - val_categorical_accuracy: 0.9222 - 2s/epoch - 7ms/step
Epoch 257/1500
313/313 - 2s - loss: 0.1013 - categorical_accuracy: 0.9643 - val_loss: 0.8351 - val_categorical_accuracy: 0.8285 - 2s/epoch - 8ms/step
Epoch 258/1500
313/313 - 2s - loss: 0.1066 - categorical_accuracy: 0.9633 - val_loss: 1.8867 - val_categorical_accuracy: 0.6837 - 2s/epoch - 7ms/step
Epoch 259/1500
313/313 - 2s - loss: 0.1634 - categorical_accuracy: 0.9512 - val_loss: 0.5126 - val_categorical_accuracy: 0.8810 - 2s/epoch - 7ms/step
Epoch 260/1500
313/313 - 2s - loss: 0.0959 - categorical_accuracy: 0.9665 - val_loss: 0.6512 - val_categorical_accuracy: 0.8639 - 2s/epoch - 7ms/step
Epoch 261/1500
313/313 - 2s - loss: 0.0974 - categorical_accuracy: 0.9653 - val_loss: 0.4817 - val_categorical_accuracy: 0.8907 - 2s/epoch - 7ms/step
Epoch 262/1500
313/313 - 2s - loss: 0.1007 - categorical_accuracy: 0.9646 - val_loss: 0.6242 - val_categorical_accuracy: 0.8584 - 2s/epoch - 7ms/step
Epoch 263/1500
313/313 - 2s - loss: 0.1009 - categorical_accuracy: 0.9652 - val_loss: 1.7024 - val_categorical_accuracy: 0.7389 - 2s/epoch - 7ms/step
Epoch 264/1500
313/313 - 2s - loss: 0.1370 - categorical_accuracy: 0.9583 - val_loss: 0.2801 - val_categorical_accuracy: 0.9293 - 2s/epoch - 7ms/step
Epoch 265/1500
313/313 - 2s - loss: 0.0933 - categorical_accuracy: 0.9667 - val_loss: 0.6643 - val_categorical_accuracy: 0.8606 - 2s/epoch - 7ms/step
Epoch 266/1500
313/313 - 2s - loss: 0.1030 - categorical_accuracy: 0.9643 - val_loss: 0.3203 - val_categorical_accuracy: 0.9223 - 2s/epoch - 8ms/step
Epoch 267/1500
313/313 - 2s - loss: 0.0956 - categorical_accuracy: 0.9668 - val_loss: 0.4171 - val_categorical_accuracy: 0.8844 - 2s/epoch - 7ms/step
Epoch 268/1500
313/313 - 2s - loss: 0.0955 - categorical_accuracy: 0.9662 - val_loss: 0.8483 - val_categorical_accuracy: 0.8242 - 2s/epoch - 7ms/step
Epoch 269/1500
313/313 - 2s - loss: 0.1108 - categorical_accuracy: 0.9624 - val_loss: 0.6079 - val_categorical_accuracy: 0.8675 - 2s/epoch - 7ms/step
Epoch 270/1500
313/313 - 2s - loss: 0.0983 - categorical_accuracy: 0.9653 - val_loss: 1.1434 - val_categorical_accuracy: 0.7755 - 2s/epoch - 7ms/step
Epoch 271/1500
313/313 - 2s - loss: 0.1114 - categorical_accuracy: 0.9616 - val_loss: 0.9672 - val_categorical_accuracy: 0.8036 - 2s/epoch - 8ms/step
Epoch 272/1500
313/313 - 2s - loss: 0.1061 - categorical_accuracy: 0.9639 - val_loss: 0.3346 - val_categorical_accuracy: 0.9076 - 2s/epoch - 7ms/step
Epoch 273/1500
313/313 - 2s - loss: 0.0952 - categorical_accuracy: 0.9662 - val_loss: 1.1300 - val_categorical_accuracy: 0.7890 - 2s/epoch - 7ms/step
Epoch 274/1500
313/313 - 2s - loss: 0.1119 - categorical_accuracy: 0.9617 - val_loss: 0.5396 - val_categorical_accuracy: 0.8677 - 2s/epoch - 7ms/step
Epoch 275/1500
313/313 - 2s - loss: 0.0979 - categorical_accuracy: 0.9660 - val_loss: 0.2856 - val_categorical_accuracy: 0.9261 - 2s/epoch - 8ms/step
Epoch 276/1500
313/313 - 2s - loss: 0.0923 - categorical_accuracy: 0.9680 - val_loss: 0.2769 - val_categorical_accuracy: 0.9328 - 2s/epoch - 7ms/step
Epoch 277/1500
313/313 - 2s - loss: 0.0940 - categorical_accuracy: 0.9667 - val_loss: 0.6227 - val_categorical_accuracy: 0.8611 - 2s/epoch - 8ms/step
Epoch 278/1500
313/313 - 2s - loss: 0.0982 - categorical_accuracy: 0.9655 - val_loss: 0.2585 - val_categorical_accuracy: 0.9371 - 2s/epoch - 7ms/step
Epoch 279/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9679 - val_loss: 0.2991 - val_categorical_accuracy: 0.9206 - 2s/epoch - 7ms/step
Epoch 280/1500
313/313 - 2s - loss: 0.0981 - categorical_accuracy: 0.9653 - val_loss: 0.7458 - val_categorical_accuracy: 0.8453 - 2s/epoch - 7ms/step
Epoch 281/1500
313/313 - 2s - loss: 0.1016 - categorical_accuracy: 0.9648 - val_loss: 0.3273 - val_categorical_accuracy: 0.9187 - 2s/epoch - 7ms/step
Epoch 282/1500
313/313 - 2s - loss: 0.0972 - categorical_accuracy: 0.9658 - val_loss: 0.3628 - val_categorical_accuracy: 0.9092 - 2s/epoch - 7ms/step
Epoch 283/1500
313/313 - 2s - loss: 0.0948 - categorical_accuracy: 0.9667 - val_loss: 1.0024 - val_categorical_accuracy: 0.8175 - 2s/epoch - 7ms/step
Epoch 284/1500
313/313 - 2s - loss: 0.1069 - categorical_accuracy: 0.9635 - val_loss: 0.3566 - val_categorical_accuracy: 0.9055 - 2s/epoch - 7ms/step
Epoch 285/1500
313/313 - 2s - loss: 0.0965 - categorical_accuracy: 0.9658 - val_loss: 0.9778 - val_categorical_accuracy: 0.8390 - 2s/epoch - 7ms/step
Epoch 286/1500
313/313 - 2s - loss: 0.1037 - categorical_accuracy: 0.9646 - val_loss: 0.7306 - val_categorical_accuracy: 0.8305 - 2s/epoch - 7ms/step
Epoch 287/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9644 - val_loss: 0.6175 - val_categorical_accuracy: 0.8631 - 2s/epoch - 7ms/step
Epoch 288/1500
313/313 - 2s - loss: 0.0957 - categorical_accuracy: 0.9667 - val_loss: 0.2737 - val_categorical_accuracy: 0.9310 - 2s/epoch - 7ms/step
Epoch 289/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9678 - val_loss: 0.3189 - val_categorical_accuracy: 0.9152 - 2s/epoch - 7ms/step
Epoch 290/1500
313/313 - 2s - loss: 0.0948 - categorical_accuracy: 0.9663 - val_loss: 0.5654 - val_categorical_accuracy: 0.8728 - 2s/epoch - 7ms/step
Epoch 291/1500
313/313 - 2s - loss: 0.0998 - categorical_accuracy: 0.9648 - val_loss: 0.3023 - val_categorical_accuracy: 0.9204 - 2s/epoch - 7ms/step
Epoch 292/1500
313/313 - 2s - loss: 0.0937 - categorical_accuracy: 0.9670 - val_loss: 0.2576 - val_categorical_accuracy: 0.9371 - 2s/epoch - 7ms/step
Epoch 293/1500
313/313 - 2s - loss: 0.0983 - categorical_accuracy: 0.9653 - val_loss: 0.3986 - val_categorical_accuracy: 0.9020 - 2s/epoch - 7ms/step
Epoch 294/1500
313/313 - 2s - loss: 0.0941 - categorical_accuracy: 0.9665 - val_loss: 0.2667 - val_categorical_accuracy: 0.9300 - 2s/epoch - 7ms/step
Epoch 295/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9670 - val_loss: 0.3037 - val_categorical_accuracy: 0.9233 - 2s/epoch - 7ms/step
Epoch 296/1500
313/313 - 2s - loss: 0.0952 - categorical_accuracy: 0.9661 - val_loss: 0.2934 - val_categorical_accuracy: 0.9270 - 2s/epoch - 7ms/step
Epoch 297/1500
313/313 - 2s - loss: 0.0980 - categorical_accuracy: 0.9651 - val_loss: 1.3388 - val_categorical_accuracy: 0.7701 - 2s/epoch - 7ms/step
Epoch 298/1500
313/313 - 2s - loss: 0.1133 - categorical_accuracy: 0.9617 - val_loss: 1.3714 - val_categorical_accuracy: 0.7978 - 2s/epoch - 7ms/step
Epoch 299/1500
313/313 - 2s - loss: 0.1146 - categorical_accuracy: 0.9624 - val_loss: 0.7119 - val_categorical_accuracy: 0.8372 - 2s/epoch - 7ms/step
Epoch 300/1500
313/313 - 2s - loss: 0.1035 - categorical_accuracy: 0.9643 - val_loss: 0.3226 - val_categorical_accuracy: 0.9167 - 2s/epoch - 7ms/step
Epoch 301/1500
313/313 - 2s - loss: 0.0929 - categorical_accuracy: 0.9671 - val_loss: 0.2811 - val_categorical_accuracy: 0.9275 - 2s/epoch - 7ms/step
Epoch 302/1500
313/313 - 2s - loss: 0.0940 - categorical_accuracy: 0.9666 - val_loss: 0.4282 - val_categorical_accuracy: 0.8921 - 2s/epoch - 7ms/step
Epoch 303/1500
313/313 - 2s - loss: 0.0941 - categorical_accuracy: 0.9666 - val_loss: 0.8468 - val_categorical_accuracy: 0.8108 - 2s/epoch - 7ms/step
Epoch 304/1500
313/313 - 2s - loss: 0.1028 - categorical_accuracy: 0.9652 - val_loss: 0.6926 - val_categorical_accuracy: 0.8424 - 2s/epoch - 7ms/step
Epoch 305/1500
313/313 - 2s - loss: 0.0970 - categorical_accuracy: 0.9660 - val_loss: 0.3573 - val_categorical_accuracy: 0.9147 - 2s/epoch - 7ms/step
Epoch 306/1500
313/313 - 2s - loss: 0.0931 - categorical_accuracy: 0.9670 - val_loss: 0.4426 - val_categorical_accuracy: 0.8946 - 2s/epoch - 7ms/step
Epoch 307/1500
313/313 - 2s - loss: 0.0942 - categorical_accuracy: 0.9668 - val_loss: 0.6645 - val_categorical_accuracy: 0.8669 - 2s/epoch - 8ms/step
Epoch 308/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9664 - val_loss: 0.4469 - val_categorical_accuracy: 0.8904 - 2s/epoch - 7ms/step
Epoch 309/1500
313/313 - 3s - loss: 0.0951 - categorical_accuracy: 0.9671 - val_loss: 0.3012 - val_categorical_accuracy: 0.9235 - 3s/epoch - 9ms/step
Epoch 310/1500
313/313 - 2s - loss: 0.0908 - categorical_accuracy: 0.9681 - val_loss: 0.6470 - val_categorical_accuracy: 0.8614 - 2s/epoch - 8ms/step
Epoch 311/1500
313/313 - 2s - loss: 0.0967 - categorical_accuracy: 0.9655 - val_loss: 0.2949 - val_categorical_accuracy: 0.9226 - 2s/epoch - 8ms/step
Epoch 312/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9681 - val_loss: 0.6135 - val_categorical_accuracy: 0.8725 - 2s/epoch - 8ms/step
Epoch 313/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9669 - val_loss: 0.6408 - val_categorical_accuracy: 0.8653 - 2s/epoch - 8ms/step
Epoch 314/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9670 - val_loss: 0.6526 - val_categorical_accuracy: 0.8705 - 2s/epoch - 8ms/step
Epoch 315/1500
313/313 - 2s - loss: 0.1062 - categorical_accuracy: 0.9638 - val_loss: 0.8727 - val_categorical_accuracy: 0.8141 - 2s/epoch - 8ms/step
Epoch 316/1500
313/313 - 2s - loss: 0.1052 - categorical_accuracy: 0.9642 - val_loss: 0.4616 - val_categorical_accuracy: 0.8895 - 2s/epoch - 8ms/step
Epoch 317/1500
313/313 - 2s - loss: 0.0941 - categorical_accuracy: 0.9668 - val_loss: 2.2741 - val_categorical_accuracy: 0.7258 - 2s/epoch - 8ms/step
Epoch 318/1500
313/313 - 2s - loss: 0.1216 - categorical_accuracy: 0.9611 - val_loss: 0.2673 - val_categorical_accuracy: 0.9289 - 2s/epoch - 8ms/step
Epoch 319/1500
313/313 - 2s - loss: 0.0868 - categorical_accuracy: 0.9694 - val_loss: 0.3844 - val_categorical_accuracy: 0.9068 - 2s/epoch - 8ms/step
Epoch 320/1500
313/313 - 2s - loss: 0.0917 - categorical_accuracy: 0.9681 - val_loss: 2.1089 - val_categorical_accuracy: 0.6607 - 2s/epoch - 8ms/step
Epoch 321/1500
313/313 - 2s - loss: 0.1577 - categorical_accuracy: 0.9543 - val_loss: 0.3781 - val_categorical_accuracy: 0.9024 - 2s/epoch - 8ms/step
Epoch 322/1500
313/313 - 2s - loss: 0.0891 - categorical_accuracy: 0.9689 - val_loss: 2.0380 - val_categorical_accuracy: 0.6994 - 2s/epoch - 8ms/step
Epoch 323/1500
313/313 - 2s - loss: 0.1299 - categorical_accuracy: 0.9591 - val_loss: 0.3699 - val_categorical_accuracy: 0.9136 - 2s/epoch - 8ms/step
Epoch 324/1500
313/313 - 2s - loss: 0.0892 - categorical_accuracy: 0.9687 - val_loss: 0.2453 - val_categorical_accuracy: 0.9355 - 2s/epoch - 8ms/step
Epoch 325/1500
313/313 - 2s - loss: 0.0867 - categorical_accuracy: 0.9692 - val_loss: 0.8038 - val_categorical_accuracy: 0.8370 - 2s/epoch - 8ms/step
Epoch 326/1500
313/313 - 2s - loss: 0.0975 - categorical_accuracy: 0.9666 - val_loss: 0.5848 - val_categorical_accuracy: 0.8728 - 2s/epoch - 8ms/step
Epoch 327/1500
313/313 - 2s - loss: 0.0937 - categorical_accuracy: 0.9676 - val_loss: 0.2795 - val_categorical_accuracy: 0.9296 - 2s/epoch - 8ms/step
Epoch 328/1500
313/313 - 2s - loss: 0.0900 - categorical_accuracy: 0.9681 - val_loss: 1.6965 - val_categorical_accuracy: 0.7373 - 2s/epoch - 8ms/step
Epoch 329/1500
313/313 - 2s - loss: 0.1124 - categorical_accuracy: 0.9628 - val_loss: 0.3934 - val_categorical_accuracy: 0.9069 - 2s/epoch - 8ms/step
Epoch 330/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9678 - val_loss: 0.8369 - val_categorical_accuracy: 0.8319 - 2s/epoch - 8ms/step
Epoch 331/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9644 - val_loss: 0.3646 - val_categorical_accuracy: 0.9066 - 2s/epoch - 8ms/step
Epoch 332/1500
313/313 - 2s - loss: 0.0887 - categorical_accuracy: 0.9684 - val_loss: 0.9283 - val_categorical_accuracy: 0.8222 - 2s/epoch - 8ms/step
Epoch 333/1500
313/313 - 2s - loss: 0.1033 - categorical_accuracy: 0.9650 - val_loss: 0.9628 - val_categorical_accuracy: 0.8165 - 2s/epoch - 8ms/step
Epoch 334/1500
313/313 - 2s - loss: 0.1068 - categorical_accuracy: 0.9642 - val_loss: 0.7144 - val_categorical_accuracy: 0.8574 - 2s/epoch - 8ms/step
Epoch 335/1500
313/313 - 2s - loss: 0.0965 - categorical_accuracy: 0.9667 - val_loss: 0.3555 - val_categorical_accuracy: 0.9079 - 2s/epoch - 8ms/step
Epoch 336/1500
313/313 - 2s - loss: 0.0904 - categorical_accuracy: 0.9686 - val_loss: 0.4440 - val_categorical_accuracy: 0.8946 - 2s/epoch - 8ms/step
Epoch 337/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9677 - val_loss: 0.5396 - val_categorical_accuracy: 0.8708 - 2s/epoch - 8ms/step
Epoch 338/1500
313/313 - 2s - loss: 0.0887 - categorical_accuracy: 0.9688 - val_loss: 0.7477 - val_categorical_accuracy: 0.8345 - 2s/epoch - 8ms/step
Epoch 339/1500
313/313 - 2s - loss: 0.0977 - categorical_accuracy: 0.9663 - val_loss: 0.9527 - val_categorical_accuracy: 0.8383 - 2s/epoch - 8ms/step
Epoch 340/1500
313/313 - 2s - loss: 0.1024 - categorical_accuracy: 0.9660 - val_loss: 0.3090 - val_categorical_accuracy: 0.9222 - 2s/epoch - 8ms/step
Epoch 341/1500
313/313 - 2s - loss: 0.0876 - categorical_accuracy: 0.9694 - val_loss: 0.3961 - val_categorical_accuracy: 0.9092 - 2s/epoch - 8ms/step
Epoch 342/1500
313/313 - 2s - loss: 0.0996 - categorical_accuracy: 0.9657 - val_loss: 0.4838 - val_categorical_accuracy: 0.8889 - 2s/epoch - 8ms/step
Epoch 343/1500
313/313 - 2s - loss: 0.0917 - categorical_accuracy: 0.9677 - val_loss: 0.3145 - val_categorical_accuracy: 0.9187 - 2s/epoch - 8ms/step
Epoch 344/1500
313/313 - 2s - loss: 0.0873 - categorical_accuracy: 0.9696 - val_loss: 0.3397 - val_categorical_accuracy: 0.9167 - 2s/epoch - 8ms/step
Epoch 345/1500
313/313 - 2s - loss: 0.0926 - categorical_accuracy: 0.9680 - val_loss: 0.6276 - val_categorical_accuracy: 0.8576 - 2s/epoch - 8ms/step
Epoch 346/1500
313/313 - 2s - loss: 0.0981 - categorical_accuracy: 0.9663 - val_loss: 0.8081 - val_categorical_accuracy: 0.8536 - 2s/epoch - 8ms/step
Epoch 347/1500
313/313 - 2s - loss: 0.0972 - categorical_accuracy: 0.9658 - val_loss: 0.6456 - val_categorical_accuracy: 0.8680 - 2s/epoch - 8ms/step
Epoch 348/1500
313/313 - 2s - loss: 0.0910 - categorical_accuracy: 0.9681 - val_loss: 1.2124 - val_categorical_accuracy: 0.7865 - 2s/epoch - 8ms/step
Epoch 349/1500
313/313 - 2s - loss: 0.1028 - categorical_accuracy: 0.9645 - val_loss: 0.2727 - val_categorical_accuracy: 0.9319 - 2s/epoch - 8ms/step
Epoch 350/1500
313/313 - 2s - loss: 0.0894 - categorical_accuracy: 0.9685 - val_loss: 0.2767 - val_categorical_accuracy: 0.9310 - 2s/epoch - 8ms/step
Epoch 351/1500
313/313 - 2s - loss: 0.0874 - categorical_accuracy: 0.9692 - val_loss: 0.3576 - val_categorical_accuracy: 0.9109 - 2s/epoch - 8ms/step
Epoch 352/1500
313/313 - 2s - loss: 0.0889 - categorical_accuracy: 0.9689 - val_loss: 0.8026 - val_categorical_accuracy: 0.8311 - 2s/epoch - 8ms/step
Epoch 353/1500
313/313 - 2s - loss: 0.0987 - categorical_accuracy: 0.9659 - val_loss: 0.3570 - val_categorical_accuracy: 0.9223 - 2s/epoch - 8ms/step
Epoch 354/1500
313/313 - 2s - loss: 0.0886 - categorical_accuracy: 0.9686 - val_loss: 0.3346 - val_categorical_accuracy: 0.9156 - 2s/epoch - 8ms/step
Epoch 355/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9684 - val_loss: 0.3256 - val_categorical_accuracy: 0.9244 - 2s/epoch - 8ms/step
Epoch 356/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9694 - val_loss: 0.7098 - val_categorical_accuracy: 0.8468 - 2s/epoch - 8ms/step
Epoch 357/1500
313/313 - 2s - loss: 0.1045 - categorical_accuracy: 0.9648 - val_loss: 0.7135 - val_categorical_accuracy: 0.8467 - 2s/epoch - 8ms/step
Epoch 358/1500
313/313 - 2s - loss: 0.0976 - categorical_accuracy: 0.9661 - val_loss: 0.2864 - val_categorical_accuracy: 0.9294 - 2s/epoch - 8ms/step
Epoch 359/1500
313/313 - 2s - loss: 0.0849 - categorical_accuracy: 0.9701 - val_loss: 0.7477 - val_categorical_accuracy: 0.8464 - 2s/epoch - 8ms/step
Epoch 360/1500
313/313 - 2s - loss: 0.0952 - categorical_accuracy: 0.9673 - val_loss: 0.6113 - val_categorical_accuracy: 0.8646 - 2s/epoch - 8ms/step
Epoch 361/1500
313/313 - 2s - loss: 0.0959 - categorical_accuracy: 0.9665 - val_loss: 0.2825 - val_categorical_accuracy: 0.9320 - 2s/epoch - 8ms/step
Epoch 362/1500
313/313 - 2s - loss: 0.0878 - categorical_accuracy: 0.9695 - val_loss: 0.3355 - val_categorical_accuracy: 0.9230 - 2s/epoch - 8ms/step
Epoch 363/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9700 - val_loss: 0.3000 - val_categorical_accuracy: 0.9312 - 2s/epoch - 8ms/step
Epoch 364/1500
313/313 - 2s - loss: 0.0874 - categorical_accuracy: 0.9694 - val_loss: 0.5269 - val_categorical_accuracy: 0.8721 - 2s/epoch - 8ms/step
Epoch 365/1500
313/313 - 2s - loss: 0.0925 - categorical_accuracy: 0.9679 - val_loss: 0.7786 - val_categorical_accuracy: 0.8519 - 2s/epoch - 8ms/step
Epoch 366/1500
313/313 - 2s - loss: 0.0951 - categorical_accuracy: 0.9667 - val_loss: 0.6348 - val_categorical_accuracy: 0.8585 - 2s/epoch - 8ms/step
Epoch 367/1500
313/313 - 2s - loss: 0.0922 - categorical_accuracy: 0.9676 - val_loss: 0.3344 - val_categorical_accuracy: 0.9180 - 2s/epoch - 8ms/step
Epoch 368/1500
313/313 - 2s - loss: 0.0903 - categorical_accuracy: 0.9686 - val_loss: 0.8800 - val_categorical_accuracy: 0.8019 - 2s/epoch - 8ms/step
Epoch 369/1500
313/313 - 2s - loss: 0.0997 - categorical_accuracy: 0.9659 - val_loss: 0.3986 - val_categorical_accuracy: 0.9127 - 2s/epoch - 8ms/step
Epoch 370/1500
313/313 - 2s - loss: 0.1008 - categorical_accuracy: 0.9661 - val_loss: 0.4496 - val_categorical_accuracy: 0.8768 - 2s/epoch - 8ms/step
Epoch 371/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9675 - val_loss: 0.5403 - val_categorical_accuracy: 0.8878 - 2s/epoch - 8ms/step
Epoch 372/1500
313/313 - 2s - loss: 0.0907 - categorical_accuracy: 0.9679 - val_loss: 0.3105 - val_categorical_accuracy: 0.9265 - 2s/epoch - 8ms/step
Epoch 373/1500
313/313 - 2s - loss: 0.0852 - categorical_accuracy: 0.9699 - val_loss: 0.7641 - val_categorical_accuracy: 0.8523 - 2s/epoch - 8ms/step
Epoch 374/1500
313/313 - 2s - loss: 0.1007 - categorical_accuracy: 0.9660 - val_loss: 0.3319 - val_categorical_accuracy: 0.9183 - 2s/epoch - 8ms/step
Epoch 375/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9696 - val_loss: 0.5576 - val_categorical_accuracy: 0.8748 - 2s/epoch - 8ms/step
Epoch 376/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9690 - val_loss: 0.4144 - val_categorical_accuracy: 0.9044 - 2s/epoch - 8ms/step
Epoch 377/1500
313/313 - 2s - loss: 0.0891 - categorical_accuracy: 0.9689 - val_loss: 0.2596 - val_categorical_accuracy: 0.9385 - 2s/epoch - 8ms/step
Epoch 378/1500
313/313 - 2s - loss: 0.0853 - categorical_accuracy: 0.9695 - val_loss: 0.2795 - val_categorical_accuracy: 0.9280 - 2s/epoch - 8ms/step
Epoch 379/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9692 - val_loss: 0.5453 - val_categorical_accuracy: 0.8910 - 2s/epoch - 8ms/step
Epoch 380/1500
313/313 - 2s - loss: 0.0934 - categorical_accuracy: 0.9677 - val_loss: 0.2872 - val_categorical_accuracy: 0.9351 - 2s/epoch - 8ms/step
Epoch 381/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9691 - val_loss: 0.5269 - val_categorical_accuracy: 0.8852 - 2s/epoch - 8ms/step
Epoch 382/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9685 - val_loss: 0.6410 - val_categorical_accuracy: 0.8596 - 2s/epoch - 8ms/step
Epoch 383/1500
313/313 - 2s - loss: 0.0940 - categorical_accuracy: 0.9674 - val_loss: 0.3346 - val_categorical_accuracy: 0.9258 - 2s/epoch - 8ms/step
Epoch 384/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9691 - val_loss: 12.9871 - val_categorical_accuracy: 0.4411 - 2s/epoch - 8ms/step
Epoch 385/1500
313/313 - 2s - loss: 1.3131 - categorical_accuracy: 0.5689 - val_loss: 0.9475 - val_categorical_accuracy: 0.6553 - 2s/epoch - 8ms/step
Epoch 386/1500
313/313 - 2s - loss: 0.6608 - categorical_accuracy: 0.7477 - val_loss: 0.8993 - val_categorical_accuracy: 0.6964 - 2s/epoch - 8ms/step
Epoch 387/1500
313/313 - 2s - loss: 0.5481 - categorical_accuracy: 0.7933 - val_loss: 1.2361 - val_categorical_accuracy: 0.6584 - 2s/epoch - 8ms/step
Epoch 388/1500
313/313 - 2s - loss: 0.4862 - categorical_accuracy: 0.8185 - val_loss: 0.5566 - val_categorical_accuracy: 0.8017 - 2s/epoch - 8ms/step
Epoch 389/1500
313/313 - 2s - loss: 0.4377 - categorical_accuracy: 0.8382 - val_loss: 0.6540 - val_categorical_accuracy: 0.7721 - 2s/epoch - 8ms/step
Epoch 390/1500
313/313 - 2s - loss: 0.4055 - categorical_accuracy: 0.8500 - val_loss: 0.4334 - val_categorical_accuracy: 0.8440 - 2s/epoch - 8ms/step
Epoch 391/1500
313/313 - 2s - loss: 0.3783 - categorical_accuracy: 0.8599 - val_loss: 0.5921 - val_categorical_accuracy: 0.7999 - 2s/epoch - 7ms/step
Epoch 392/1500
313/313 - 2s - loss: 0.3620 - categorical_accuracy: 0.8668 - val_loss: 0.5462 - val_categorical_accuracy: 0.8097 - 2s/epoch - 8ms/step
Epoch 393/1500
313/313 - 2s - loss: 0.3439 - categorical_accuracy: 0.8739 - val_loss: 0.5086 - val_categorical_accuracy: 0.8119 - 2s/epoch - 8ms/step
Epoch 394/1500
313/313 - 2s - loss: 0.3286 - categorical_accuracy: 0.8805 - val_loss: 1.8956 - val_categorical_accuracy: 0.6733 - 2s/epoch - 8ms/step
Epoch 395/1500
313/313 - 2s - loss: 0.3360 - categorical_accuracy: 0.8800 - val_loss: 0.3991 - val_categorical_accuracy: 0.8570 - 2s/epoch - 8ms/step
Epoch 396/1500
313/313 - 2s - loss: 0.3062 - categorical_accuracy: 0.8888 - val_loss: 0.3822 - val_categorical_accuracy: 0.8660 - 2s/epoch - 8ms/step
Epoch 397/1500
313/313 - 2s - loss: 0.2940 - categorical_accuracy: 0.8928 - val_loss: 1.1514 - val_categorical_accuracy: 0.7092 - 2s/epoch - 8ms/step
Epoch 398/1500
313/313 - 2s - loss: 0.3042 - categorical_accuracy: 0.8919 - val_loss: 0.3924 - val_categorical_accuracy: 0.8643 - 2s/epoch - 8ms/step
Epoch 399/1500
313/313 - 2s - loss: 0.2785 - categorical_accuracy: 0.8991 - val_loss: 0.4359 - val_categorical_accuracy: 0.8513 - 2s/epoch - 8ms/step
Epoch 400/1500
313/313 - 2s - loss: 0.2738 - categorical_accuracy: 0.9012 - val_loss: 0.3992 - val_categorical_accuracy: 0.8681 - 2s/epoch - 8ms/step
Epoch 401/1500
313/313 - 2s - loss: 0.2670 - categorical_accuracy: 0.9038 - val_loss: 0.3744 - val_categorical_accuracy: 0.8688 - 2s/epoch - 8ms/step
Epoch 402/1500
313/313 - 2s - loss: 0.2606 - categorical_accuracy: 0.9058 - val_loss: 0.4226 - val_categorical_accuracy: 0.8581 - 2s/epoch - 8ms/step
Epoch 403/1500
313/313 - 2s - loss: 0.2560 - categorical_accuracy: 0.9077 - val_loss: 0.5223 - val_categorical_accuracy: 0.8382 - 2s/epoch - 8ms/step
Epoch 404/1500
313/313 - 2s - loss: 0.2506 - categorical_accuracy: 0.9095 - val_loss: 0.8360 - val_categorical_accuracy: 0.7628 - 2s/epoch - 8ms/step
Epoch 405/1500
313/313 - 2s - loss: 0.2521 - categorical_accuracy: 0.9095 - val_loss: 1.1415 - val_categorical_accuracy: 0.7384 - 2s/epoch - 7ms/step
Epoch 406/1500
313/313 - 2s - loss: 0.2520 - categorical_accuracy: 0.9104 - val_loss: 0.3668 - val_categorical_accuracy: 0.8777 - 2s/epoch - 7ms/step
Epoch 407/1500
313/313 - 2s - loss: 0.2384 - categorical_accuracy: 0.9148 - val_loss: 0.9753 - val_categorical_accuracy: 0.7720 - 2s/epoch - 7ms/step
Epoch 408/1500
313/313 - 2s - loss: 0.2385 - categorical_accuracy: 0.9144 - val_loss: 0.5980 - val_categorical_accuracy: 0.8595 - 2s/epoch - 7ms/step
Epoch 409/1500
313/313 - 2s - loss: 0.2321 - categorical_accuracy: 0.9171 - val_loss: 0.4059 - val_categorical_accuracy: 0.8685 - 2s/epoch - 7ms/step
Epoch 410/1500
313/313 - 2s - loss: 0.2273 - categorical_accuracy: 0.9188 - val_loss: 0.4535 - val_categorical_accuracy: 0.8489 - 2s/epoch - 7ms/step
Epoch 411/1500
313/313 - 2s - loss: 0.2250 - categorical_accuracy: 0.9200 - val_loss: 0.4075 - val_categorical_accuracy: 0.8714 - 2s/epoch - 7ms/step
Epoch 412/1500
313/313 - 2s - loss: 0.2231 - categorical_accuracy: 0.9203 - val_loss: 0.4718 - val_categorical_accuracy: 0.8621 - 2s/epoch - 7ms/step
Epoch 413/1500
313/313 - 2s - loss: 0.2201 - categorical_accuracy: 0.9218 - val_loss: 0.4808 - val_categorical_accuracy: 0.8538 - 2s/epoch - 7ms/step
Epoch 414/1500
313/313 - 2s - loss: 0.2172 - categorical_accuracy: 0.9230 - val_loss: 0.3605 - val_categorical_accuracy: 0.8797 - 2s/epoch - 7ms/step
Epoch 415/1500
313/313 - 2s - loss: 0.2133 - categorical_accuracy: 0.9236 - val_loss: 0.3868 - val_categorical_accuracy: 0.8713 - 2s/epoch - 7ms/step
Epoch 416/1500
313/313 - 2s - loss: 0.2147 - categorical_accuracy: 0.9238 - val_loss: 0.9298 - val_categorical_accuracy: 0.7736 - 2s/epoch - 7ms/step
Epoch 417/1500
313/313 - 2s - loss: 0.2146 - categorical_accuracy: 0.9241 - val_loss: 0.3783 - val_categorical_accuracy: 0.8752 - 2s/epoch - 7ms/step
Epoch 418/1500
313/313 - 2s - loss: 0.2072 - categorical_accuracy: 0.9266 - val_loss: 0.3511 - val_categorical_accuracy: 0.8860 - 2s/epoch - 7ms/step
Epoch 419/1500
313/313 - 2s - loss: 0.2074 - categorical_accuracy: 0.9265 - val_loss: 1.1191 - val_categorical_accuracy: 0.7378 - 2s/epoch - 7ms/step
Epoch 420/1500
313/313 - 2s - loss: 0.2176 - categorical_accuracy: 0.9241 - val_loss: 0.7506 - val_categorical_accuracy: 0.7909 - 2s/epoch - 7ms/step
Epoch 421/1500
313/313 - 2s - loss: 0.2043 - categorical_accuracy: 0.9275 - val_loss: 0.8376 - val_categorical_accuracy: 0.7926 - 2s/epoch - 7ms/step
Epoch 422/1500
313/313 - 2s - loss: 0.2043 - categorical_accuracy: 0.9274 - val_loss: 0.9182 - val_categorical_accuracy: 0.7751 - 2s/epoch - 7ms/step
Epoch 423/1500
313/313 - 2s - loss: 0.2067 - categorical_accuracy: 0.9272 - val_loss: 0.3726 - val_categorical_accuracy: 0.8831 - 2s/epoch - 7ms/step
Epoch 424/1500
313/313 - 2s - loss: 0.1944 - categorical_accuracy: 0.9312 - val_loss: 0.3436 - val_categorical_accuracy: 0.8894 - 2s/epoch - 7ms/step
Epoch 425/1500
313/313 - 2s - loss: 0.1937 - categorical_accuracy: 0.9315 - val_loss: 0.3788 - val_categorical_accuracy: 0.8763 - 2s/epoch - 7ms/step
Epoch 426/1500
313/313 - 2s - loss: 0.1922 - categorical_accuracy: 0.9321 - val_loss: 0.4005 - val_categorical_accuracy: 0.8711 - 2s/epoch - 7ms/step
Epoch 427/1500
313/313 - 2s - loss: 0.1912 - categorical_accuracy: 0.9316 - val_loss: 0.3960 - val_categorical_accuracy: 0.8735 - 2s/epoch - 7ms/step
Epoch 428/1500
313/313 - 2s - loss: 0.1880 - categorical_accuracy: 0.9338 - val_loss: 0.3802 - val_categorical_accuracy: 0.8804 - 2s/epoch - 7ms/step
Epoch 429/1500
313/313 - 2s - loss: 0.1920 - categorical_accuracy: 0.9320 - val_loss: 0.4558 - val_categorical_accuracy: 0.8567 - 2s/epoch - 7ms/step
Epoch 430/1500
313/313 - 2s - loss: 0.1884 - categorical_accuracy: 0.9335 - val_loss: 0.8044 - val_categorical_accuracy: 0.7956 - 2s/epoch - 7ms/step
Epoch 431/1500
313/313 - 2s - loss: 0.1926 - categorical_accuracy: 0.9325 - val_loss: 0.5826 - val_categorical_accuracy: 0.8407 - 2s/epoch - 7ms/step
Epoch 432/1500
313/313 - 2s - loss: 0.1856 - categorical_accuracy: 0.9341 - val_loss: 0.3265 - val_categorical_accuracy: 0.8998 - 2s/epoch - 7ms/step
Epoch 433/1500
313/313 - 2s - loss: 0.1825 - categorical_accuracy: 0.9353 - val_loss: 0.8727 - val_categorical_accuracy: 0.7976 - 2s/epoch - 8ms/step
Epoch 434/1500
313/313 - 2s - loss: 0.2088 - categorical_accuracy: 0.9285 - val_loss: 1.4756 - val_categorical_accuracy: 0.7056 - 2s/epoch - 7ms/step
Epoch 435/1500
313/313 - 2s - loss: 0.2271 - categorical_accuracy: 0.9253 - val_loss: 0.4610 - val_categorical_accuracy: 0.8579 - 2s/epoch - 7ms/step
Epoch 436/1500
313/313 - 2s - loss: 0.1799 - categorical_accuracy: 0.9365 - val_loss: 0.3348 - val_categorical_accuracy: 0.8936 - 2s/epoch - 7ms/step
Epoch 437/1500
313/313 - 2s - loss: 0.1781 - categorical_accuracy: 0.9371 - val_loss: 0.4949 - val_categorical_accuracy: 0.8545 - 2s/epoch - 7ms/step
Epoch 438/1500
313/313 - 2s - loss: 0.1798 - categorical_accuracy: 0.9365 - val_loss: 0.3253 - val_categorical_accuracy: 0.8997 - 2s/epoch - 7ms/step
Epoch 439/1500
313/313 - 2s - loss: 0.1763 - categorical_accuracy: 0.9377 - val_loss: 0.8579 - val_categorical_accuracy: 0.7880 - 2s/epoch - 7ms/step
Epoch 440/1500
313/313 - 2s - loss: 0.1780 - categorical_accuracy: 0.9372 - val_loss: 0.7417 - val_categorical_accuracy: 0.8153 - 2s/epoch - 7ms/step
Epoch 441/1500
313/313 - 2s - loss: 0.1762 - categorical_accuracy: 0.9377 - val_loss: 0.9575 - val_categorical_accuracy: 0.7684 - 2s/epoch - 7ms/step
Epoch 442/1500
313/313 - 2s - loss: 0.1819 - categorical_accuracy: 0.9368 - val_loss: 1.5300 - val_categorical_accuracy: 0.7686 - 2s/epoch - 7ms/step
Epoch 443/1500
313/313 - 2s - loss: 0.1923 - categorical_accuracy: 0.9347 - val_loss: 0.4917 - val_categorical_accuracy: 0.8488 - 2s/epoch - 7ms/step
Epoch 444/1500
313/313 - 2s - loss: 0.1703 - categorical_accuracy: 0.9393 - val_loss: 0.6298 - val_categorical_accuracy: 0.8126 - 2s/epoch - 7ms/step
Epoch 445/1500
313/313 - 2s - loss: 0.1729 - categorical_accuracy: 0.9398 - val_loss: 0.4587 - val_categorical_accuracy: 0.8657 - 2s/epoch - 7ms/step
Epoch 446/1500
313/313 - 2s - loss: 0.1704 - categorical_accuracy: 0.9402 - val_loss: 0.3570 - val_categorical_accuracy: 0.8902 - 2s/epoch - 7ms/step
Epoch 447/1500
313/313 - 2s - loss: 0.1668 - categorical_accuracy: 0.9412 - val_loss: 0.3958 - val_categorical_accuracy: 0.8809 - 2s/epoch - 7ms/step
Epoch 448/1500
313/313 - 2s - loss: 0.1675 - categorical_accuracy: 0.9411 - val_loss: 0.4237 - val_categorical_accuracy: 0.8826 - 2s/epoch - 7ms/step
Epoch 449/1500
313/313 - 2s - loss: 0.1682 - categorical_accuracy: 0.9410 - val_loss: 0.4691 - val_categorical_accuracy: 0.8666 - 2s/epoch - 7ms/step
Epoch 450/1500
313/313 - 2s - loss: 0.1665 - categorical_accuracy: 0.9417 - val_loss: 0.3085 - val_categorical_accuracy: 0.9045 - 2s/epoch - 7ms/step
Epoch 451/1500
313/313 - 2s - loss: 0.1654 - categorical_accuracy: 0.9421 - val_loss: 0.9161 - val_categorical_accuracy: 0.7971 - 2s/epoch - 7ms/step
Epoch 452/1500
313/313 - 2s - loss: 0.1764 - categorical_accuracy: 0.9388 - val_loss: 0.2953 - val_categorical_accuracy: 0.9090 - 2s/epoch - 7ms/step
Epoch 453/1500
313/313 - 2s - loss: 0.1635 - categorical_accuracy: 0.9427 - val_loss: 0.3303 - val_categorical_accuracy: 0.8992 - 2s/epoch - 7ms/step
Epoch 454/1500
313/313 - 2s - loss: 0.1638 - categorical_accuracy: 0.9421 - val_loss: 0.4989 - val_categorical_accuracy: 0.8606 - 2s/epoch - 7ms/step
Epoch 455/1500
313/313 - 2s - loss: 0.1632 - categorical_accuracy: 0.9424 - val_loss: 0.3802 - val_categorical_accuracy: 0.8874 - 2s/epoch - 7ms/step
Epoch 456/1500
313/313 - 2s - loss: 0.1623 - categorical_accuracy: 0.9435 - val_loss: 0.6071 - val_categorical_accuracy: 0.8424 - 2s/epoch - 7ms/step
Epoch 457/1500
313/313 - 2s - loss: 0.1637 - categorical_accuracy: 0.9418 - val_loss: 0.7524 - val_categorical_accuracy: 0.8094 - 2s/epoch - 7ms/step
Epoch 458/1500
313/313 - 2s - loss: 0.1631 - categorical_accuracy: 0.9425 - val_loss: 0.4451 - val_categorical_accuracy: 0.8733 - 2s/epoch - 7ms/step
Epoch 459/1500
313/313 - 2s - loss: 0.1598 - categorical_accuracy: 0.9435 - val_loss: 0.4204 - val_categorical_accuracy: 0.8738 - 2s/epoch - 7ms/step
Epoch 460/1500
313/313 - 2s - loss: 0.1593 - categorical_accuracy: 0.9443 - val_loss: 0.3706 - val_categorical_accuracy: 0.8929 - 2s/epoch - 7ms/step
Epoch 461/1500
313/313 - 2s - loss: 0.1586 - categorical_accuracy: 0.9446 - val_loss: 0.3204 - val_categorical_accuracy: 0.9068 - 2s/epoch - 7ms/step
Epoch 462/1500
313/313 - 2s - loss: 0.1568 - categorical_accuracy: 0.9452 - val_loss: 0.3720 - val_categorical_accuracy: 0.8901 - 2s/epoch - 7ms/step
Epoch 463/1500
313/313 - 2s - loss: 0.1558 - categorical_accuracy: 0.9452 - val_loss: 0.6309 - val_categorical_accuracy: 0.8323 - 2s/epoch - 7ms/step
Epoch 464/1500
313/313 - 2s - loss: 0.1628 - categorical_accuracy: 0.9430 - val_loss: 1.3741 - val_categorical_accuracy: 0.7282 - 2s/epoch - 7ms/step
Epoch 465/1500
313/313 - 2s - loss: 0.1874 - categorical_accuracy: 0.9362 - val_loss: 0.4132 - val_categorical_accuracy: 0.8885 - 2s/epoch - 7ms/step
Epoch 466/1500
313/313 - 2s - loss: 0.1557 - categorical_accuracy: 0.9454 - val_loss: 0.7289 - val_categorical_accuracy: 0.8319 - 2s/epoch - 7ms/step
Epoch 467/1500
313/313 - 2s - loss: 0.1550 - categorical_accuracy: 0.9457 - val_loss: 0.9175 - val_categorical_accuracy: 0.7784 - 2s/epoch - 7ms/step
Epoch 468/1500
313/313 - 2s - loss: 0.1654 - categorical_accuracy: 0.9427 - val_loss: 0.3882 - val_categorical_accuracy: 0.8803 - 2s/epoch - 7ms/step
Epoch 469/1500
313/313 - 2s - loss: 0.1537 - categorical_accuracy: 0.9462 - val_loss: 0.4630 - val_categorical_accuracy: 0.8720 - 2s/epoch - 7ms/step
Epoch 470/1500
313/313 - 2s - loss: 0.1516 - categorical_accuracy: 0.9468 - val_loss: 0.4129 - val_categorical_accuracy: 0.8919 - 2s/epoch - 7ms/step
Epoch 471/1500
313/313 - 2s - loss: 0.1519 - categorical_accuracy: 0.9463 - val_loss: 0.4991 - val_categorical_accuracy: 0.8628 - 2s/epoch - 7ms/step
Epoch 472/1500
313/313 - 2s - loss: 0.1518 - categorical_accuracy: 0.9470 - val_loss: 0.3284 - val_categorical_accuracy: 0.9075 - 2s/epoch - 7ms/step
Epoch 473/1500
313/313 - 2s - loss: 0.1503 - categorical_accuracy: 0.9471 - val_loss: 0.3020 - val_categorical_accuracy: 0.9122 - 2s/epoch - 7ms/step
Epoch 474/1500
313/313 - 2s - loss: 0.1521 - categorical_accuracy: 0.9465 - val_loss: 1.3640 - val_categorical_accuracy: 0.7181 - 2s/epoch - 7ms/step
Epoch 475/1500
313/313 - 2s - loss: 0.1942 - categorical_accuracy: 0.9367 - val_loss: 0.3708 - val_categorical_accuracy: 0.8913 - 2s/epoch - 7ms/step
Epoch 476/1500
313/313 - 2s - loss: 0.1490 - categorical_accuracy: 0.9479 - val_loss: 0.3811 - val_categorical_accuracy: 0.8899 - 2s/epoch - 7ms/step
Epoch 477/1500
313/313 - 2s - loss: 0.1471 - categorical_accuracy: 0.9484 - val_loss: 0.7049 - val_categorical_accuracy: 0.8183 - 2s/epoch - 7ms/step
Epoch 478/1500
313/313 - 2s - loss: 0.1501 - categorical_accuracy: 0.9470 - val_loss: 0.3877 - val_categorical_accuracy: 0.8871 - 2s/epoch - 7ms/step
Epoch 479/1500
313/313 - 2s - loss: 0.1480 - categorical_accuracy: 0.9479 - val_loss: 0.4575 - val_categorical_accuracy: 0.8719 - 2s/epoch - 7ms/step
Epoch 480/1500
313/313 - 2s - loss: 0.1495 - categorical_accuracy: 0.9473 - val_loss: 1.5870 - val_categorical_accuracy: 0.7695 - 2s/epoch - 7ms/step
Epoch 481/1500
313/313 - 2s - loss: 0.1643 - categorical_accuracy: 0.9441 - val_loss: 0.3924 - val_categorical_accuracy: 0.8920 - 2s/epoch - 7ms/step
Epoch 482/1500
313/313 - 2s - loss: 0.1471 - categorical_accuracy: 0.9487 - val_loss: 5.5901 - val_categorical_accuracy: 0.5242 - 2s/epoch - 7ms/step
Epoch 483/1500
313/313 - 2s - loss: 0.2842 - categorical_accuracy: 0.9156 - val_loss: 1.3934 - val_categorical_accuracy: 0.7346 - 2s/epoch - 7ms/step
Epoch 484/1500
313/313 - 2s - loss: 0.1720 - categorical_accuracy: 0.9417 - val_loss: 0.3669 - val_categorical_accuracy: 0.8902 - 2s/epoch - 7ms/step
Epoch 485/1500
313/313 - 2s - loss: 0.1455 - categorical_accuracy: 0.9493 - val_loss: 0.2864 - val_categorical_accuracy: 0.9149 - 2s/epoch - 7ms/step
Epoch 486/1500
313/313 - 2s - loss: 0.1446 - categorical_accuracy: 0.9493 - val_loss: 1.0615 - val_categorical_accuracy: 0.7704 - 2s/epoch - 8ms/step
Epoch 487/1500
313/313 - 2s - loss: 0.1531 - categorical_accuracy: 0.9470 - val_loss: 0.3743 - val_categorical_accuracy: 0.8910 - 2s/epoch - 7ms/step
Epoch 488/1500
313/313 - 2s - loss: 0.1432 - categorical_accuracy: 0.9501 - val_loss: 0.3410 - val_categorical_accuracy: 0.8955 - 2s/epoch - 7ms/step
Epoch 489/1500
313/313 - 2s - loss: 0.1413 - categorical_accuracy: 0.9499 - val_loss: 0.3410 - val_categorical_accuracy: 0.9053 - 2s/epoch - 7ms/step
Epoch 490/1500
313/313 - 2s - loss: 0.1410 - categorical_accuracy: 0.9505 - val_loss: 1.7823 - val_categorical_accuracy: 0.7022 - 2s/epoch - 7ms/step
Epoch 491/1500
313/313 - 2s - loss: 0.1664 - categorical_accuracy: 0.9443 - val_loss: 0.4866 - val_categorical_accuracy: 0.8673 - 2s/epoch - 7ms/step
Epoch 492/1500
313/313 - 2s - loss: 0.1422 - categorical_accuracy: 0.9503 - val_loss: 0.9067 - val_categorical_accuracy: 0.8035 - 2s/epoch - 7ms/step
Epoch 493/1500
313/313 - 2s - loss: 0.1466 - categorical_accuracy: 0.9491 - val_loss: 0.3211 - val_categorical_accuracy: 0.9024 - 2s/epoch - 7ms/step
Epoch 494/1500
313/313 - 2s - loss: 0.1364 - categorical_accuracy: 0.9517 - val_loss: 0.4844 - val_categorical_accuracy: 0.8705 - 2s/epoch - 7ms/step
Epoch 495/1500
313/313 - 2s - loss: 0.1434 - categorical_accuracy: 0.9495 - val_loss: 0.2981 - val_categorical_accuracy: 0.9158 - 2s/epoch - 7ms/step
Epoch 496/1500
313/313 - 2s - loss: 0.1393 - categorical_accuracy: 0.9515 - val_loss: 0.4708 - val_categorical_accuracy: 0.8679 - 2s/epoch - 7ms/step
Epoch 497/1500
313/313 - 2s - loss: 0.1400 - categorical_accuracy: 0.9504 - val_loss: 0.3454 - val_categorical_accuracy: 0.9063 - 2s/epoch - 7ms/step
Epoch 498/1500
313/313 - 2s - loss: 0.1394 - categorical_accuracy: 0.9514 - val_loss: 0.3326 - val_categorical_accuracy: 0.9100 - 2s/epoch - 7ms/step
Epoch 499/1500
313/313 - 2s - loss: 0.1394 - categorical_accuracy: 0.9514 - val_loss: 0.3999 - val_categorical_accuracy: 0.8949 - 2s/epoch - 7ms/step
Epoch 500/1500
313/313 - 2s - loss: 0.1411 - categorical_accuracy: 0.9503 - val_loss: 1.0588 - val_categorical_accuracy: 0.7797 - 2s/epoch - 7ms/step
Epoch 501/1500
313/313 - 2s - loss: 0.1548 - categorical_accuracy: 0.9472 - val_loss: 0.6774 - val_categorical_accuracy: 0.8312 - 2s/epoch - 7ms/step
Epoch 502/1500
313/313 - 2s - loss: 0.1421 - categorical_accuracy: 0.9506 - val_loss: 0.4043 - val_categorical_accuracy: 0.8895 - 2s/epoch - 7ms/step
Epoch 503/1500
313/313 - 2s - loss: 0.1524 - categorical_accuracy: 0.9479 - val_loss: 0.4450 - val_categorical_accuracy: 0.8907 - 2s/epoch - 7ms/step
Epoch 504/1500
313/313 - 2s - loss: 0.1372 - categorical_accuracy: 0.9516 - val_loss: 0.3243 - val_categorical_accuracy: 0.9108 - 2s/epoch - 7ms/step
Epoch 505/1500
313/313 - 2s - loss: 0.1357 - categorical_accuracy: 0.9528 - val_loss: 0.7312 - val_categorical_accuracy: 0.8237 - 2s/epoch - 7ms/step
Epoch 506/1500
313/313 - 2s - loss: 0.1432 - categorical_accuracy: 0.9505 - val_loss: 0.4788 - val_categorical_accuracy: 0.8746 - 2s/epoch - 7ms/step
Epoch 507/1500
313/313 - 2s - loss: 0.1388 - categorical_accuracy: 0.9515 - val_loss: 0.7118 - val_categorical_accuracy: 0.8513 - 2s/epoch - 7ms/step
Epoch 508/1500
313/313 - 2s - loss: 0.1387 - categorical_accuracy: 0.9511 - val_loss: 0.3380 - val_categorical_accuracy: 0.9040 - 2s/epoch - 7ms/step
Epoch 509/1500
313/313 - 2s - loss: 0.1340 - categorical_accuracy: 0.9531 - val_loss: 0.3400 - val_categorical_accuracy: 0.9038 - 2s/epoch - 7ms/step
Epoch 510/1500
313/313 - 2s - loss: 0.1358 - categorical_accuracy: 0.9522 - val_loss: 0.3173 - val_categorical_accuracy: 0.9095 - 2s/epoch - 7ms/step
Epoch 511/1500
313/313 - 2s - loss: 0.1346 - categorical_accuracy: 0.9531 - val_loss: 0.3608 - val_categorical_accuracy: 0.8993 - 2s/epoch - 7ms/step
Epoch 512/1500
313/313 - 2s - loss: 0.1344 - categorical_accuracy: 0.9533 - val_loss: 0.3020 - val_categorical_accuracy: 0.9163 - 2s/epoch - 7ms/step
Epoch 513/1500
313/313 - 2s - loss: 0.1339 - categorical_accuracy: 0.9532 - val_loss: 0.4255 - val_categorical_accuracy: 0.8785 - 2s/epoch - 7ms/step
Epoch 514/1500
313/313 - 2s - loss: 0.1346 - categorical_accuracy: 0.9528 - val_loss: 0.3721 - val_categorical_accuracy: 0.9023 - 2s/epoch - 7ms/step
Epoch 515/1500
313/313 - 2s - loss: 0.1344 - categorical_accuracy: 0.9528 - val_loss: 0.3638 - val_categorical_accuracy: 0.9029 - 2s/epoch - 7ms/step
Epoch 516/1500
313/313 - 2s - loss: 0.1348 - categorical_accuracy: 0.9526 - val_loss: 0.3764 - val_categorical_accuracy: 0.8935 - 2s/epoch - 7ms/step
Epoch 517/1500
313/313 - 2s - loss: 0.1331 - categorical_accuracy: 0.9533 - val_loss: 1.7834 - val_categorical_accuracy: 0.7426 - 2s/epoch - 7ms/step
Epoch 518/1500
313/313 - 2s - loss: 0.1570 - categorical_accuracy: 0.9476 - val_loss: 0.5716 - val_categorical_accuracy: 0.8512 - 2s/epoch - 7ms/step
Epoch 519/1500
313/313 - 2s - loss: 0.1346 - categorical_accuracy: 0.9526 - val_loss: 0.6516 - val_categorical_accuracy: 0.8397 - 2s/epoch - 7ms/step
Epoch 520/1500
313/313 - 2s - loss: 0.1336 - categorical_accuracy: 0.9533 - val_loss: 1.0853 - val_categorical_accuracy: 0.7838 - 2s/epoch - 7ms/step
Epoch 521/1500
313/313 - 2s - loss: 0.1409 - categorical_accuracy: 0.9512 - val_loss: 0.8602 - val_categorical_accuracy: 0.8016 - 2s/epoch - 7ms/step
Epoch 522/1500
313/313 - 2s - loss: 0.1389 - categorical_accuracy: 0.9518 - val_loss: 0.4871 - val_categorical_accuracy: 0.8697 - 2s/epoch - 7ms/step
Epoch 523/1500
313/313 - 2s - loss: 0.1341 - categorical_accuracy: 0.9534 - val_loss: 0.4735 - val_categorical_accuracy: 0.8731 - 2s/epoch - 7ms/step
Epoch 524/1500
313/313 - 2s - loss: 0.1313 - categorical_accuracy: 0.9539 - val_loss: 0.4677 - val_categorical_accuracy: 0.8739 - 2s/epoch - 7ms/step
Epoch 525/1500
313/313 - 2s - loss: 0.1318 - categorical_accuracy: 0.9537 - val_loss: 0.5720 - val_categorical_accuracy: 0.8550 - 2s/epoch - 7ms/step
Epoch 526/1500
313/313 - 2s - loss: 0.1361 - categorical_accuracy: 0.9526 - val_loss: 1.0784 - val_categorical_accuracy: 0.7650 - 2s/epoch - 7ms/step
Epoch 527/1500
313/313 - 2s - loss: 0.1468 - categorical_accuracy: 0.9504 - val_loss: 0.3922 - val_categorical_accuracy: 0.8946 - 2s/epoch - 7ms/step
Epoch 528/1500
313/313 - 2s - loss: 0.1301 - categorical_accuracy: 0.9549 - val_loss: 0.6774 - val_categorical_accuracy: 0.8369 - 2s/epoch - 7ms/step
Epoch 529/1500
313/313 - 2s - loss: 0.1349 - categorical_accuracy: 0.9526 - val_loss: 0.8703 - val_categorical_accuracy: 0.8001 - 2s/epoch - 7ms/step
Epoch 530/1500
313/313 - 2s - loss: 0.1419 - categorical_accuracy: 0.9515 - val_loss: 0.6439 - val_categorical_accuracy: 0.8516 - 2s/epoch - 7ms/step
Epoch 531/1500
313/313 - 2s - loss: 0.1365 - categorical_accuracy: 0.9530 - val_loss: 0.3882 - val_categorical_accuracy: 0.8955 - 2s/epoch - 7ms/step
Epoch 532/1500
313/313 - 2s - loss: 0.1327 - categorical_accuracy: 0.9538 - val_loss: 0.3946 - val_categorical_accuracy: 0.8869 - 2s/epoch - 7ms/step
Epoch 533/1500
313/313 - 2s - loss: 0.1265 - categorical_accuracy: 0.9553 - val_loss: 0.9248 - val_categorical_accuracy: 0.7912 - 2s/epoch - 7ms/step
Epoch 534/1500
313/313 - 2s - loss: 0.1437 - categorical_accuracy: 0.9501 - val_loss: 0.3862 - val_categorical_accuracy: 0.8897 - 2s/epoch - 7ms/step
Epoch 535/1500
313/313 - 2s - loss: 0.1262 - categorical_accuracy: 0.9562 - val_loss: 0.3404 - val_categorical_accuracy: 0.9072 - 2s/epoch - 7ms/step
Epoch 536/1500
313/313 - 2s - loss: 0.1269 - categorical_accuracy: 0.9557 - val_loss: 0.9862 - val_categorical_accuracy: 0.7905 - 2s/epoch - 7ms/step
Epoch 537/1500
313/313 - 2s - loss: 0.1409 - categorical_accuracy: 0.9511 - val_loss: 0.4469 - val_categorical_accuracy: 0.8843 - 2s/epoch - 7ms/step
Epoch 538/1500
313/313 - 2s - loss: 0.1290 - categorical_accuracy: 0.9544 - val_loss: 0.3786 - val_categorical_accuracy: 0.9012 - 2s/epoch - 7ms/step
Epoch 539/1500
313/313 - 2s - loss: 0.1285 - categorical_accuracy: 0.9552 - val_loss: 0.3159 - val_categorical_accuracy: 0.9142 - 2s/epoch - 7ms/step
Epoch 540/1500
313/313 - 2s - loss: 0.1253 - categorical_accuracy: 0.9561 - val_loss: 0.3105 - val_categorical_accuracy: 0.9172 - 2s/epoch - 7ms/step
Epoch 541/1500
313/313 - 2s - loss: 0.1263 - categorical_accuracy: 0.9557 - val_loss: 0.3764 - val_categorical_accuracy: 0.9015 - 2s/epoch - 7ms/step
Epoch 542/1500
313/313 - 2s - loss: 0.1275 - categorical_accuracy: 0.9551 - val_loss: 0.5633 - val_categorical_accuracy: 0.8646 - 2s/epoch - 7ms/step
Epoch 543/1500
313/313 - 2s - loss: 0.1308 - categorical_accuracy: 0.9544 - val_loss: 0.8226 - val_categorical_accuracy: 0.8368 - 2s/epoch - 7ms/step
Epoch 544/1500
313/313 - 2s - loss: 0.1413 - categorical_accuracy: 0.9513 - val_loss: 0.3711 - val_categorical_accuracy: 0.9011 - 2s/epoch - 7ms/step
Epoch 545/1500
313/313 - 2s - loss: 0.1287 - categorical_accuracy: 0.9544 - val_loss: 0.9645 - val_categorical_accuracy: 0.7967 - 2s/epoch - 7ms/step
Epoch 546/1500
313/313 - 2s - loss: 0.1338 - categorical_accuracy: 0.9538 - val_loss: 0.3272 - val_categorical_accuracy: 0.9101 - 2s/epoch - 7ms/step
Epoch 547/1500
313/313 - 2s - loss: 0.1274 - categorical_accuracy: 0.9559 - val_loss: 0.7858 - val_categorical_accuracy: 0.8427 - 2s/epoch - 7ms/step
Epoch 548/1500
313/313 - 2s - loss: 0.1329 - categorical_accuracy: 0.9537 - val_loss: 0.3398 - val_categorical_accuracy: 0.9110 - 2s/epoch - 7ms/step
Epoch 549/1500
313/313 - 2s - loss: 0.1263 - categorical_accuracy: 0.9555 - val_loss: 0.3118 - val_categorical_accuracy: 0.9168 - 2s/epoch - 7ms/step
Epoch 550/1500
313/313 - 2s - loss: 0.1246 - categorical_accuracy: 0.9562 - val_loss: 0.7632 - val_categorical_accuracy: 0.8233 - 2s/epoch - 7ms/step
Epoch 551/1500
313/313 - 2s - loss: 0.1317 - categorical_accuracy: 0.9540 - val_loss: 0.5423 - val_categorical_accuracy: 0.8747 - 2s/epoch - 7ms/step
Epoch 552/1500
313/313 - 2s - loss: 0.1265 - categorical_accuracy: 0.9558 - val_loss: 0.7343 - val_categorical_accuracy: 0.8435 - 2s/epoch - 7ms/step
Epoch 553/1500
313/313 - 2s - loss: 0.1272 - categorical_accuracy: 0.9556 - val_loss: 0.2918 - val_categorical_accuracy: 0.9232 - 2s/epoch - 7ms/step
Epoch 554/1500
313/313 - 2s - loss: 0.1248 - categorical_accuracy: 0.9564 - val_loss: 0.5652 - val_categorical_accuracy: 0.8661 - 2s/epoch - 7ms/step
Epoch 555/1500
313/313 - 2s - loss: 0.1277 - categorical_accuracy: 0.9552 - val_loss: 0.3426 - val_categorical_accuracy: 0.9097 - 2s/epoch - 7ms/step
Epoch 556/1500
313/313 - 2s - loss: 0.1248 - categorical_accuracy: 0.9558 - val_loss: 0.7336 - val_categorical_accuracy: 0.8236 - 2s/epoch - 7ms/step
Epoch 557/1500
313/313 - 2s - loss: 0.1325 - categorical_accuracy: 0.9534 - val_loss: 0.7339 - val_categorical_accuracy: 0.8326 - 2s/epoch - 7ms/step
Epoch 558/1500
313/313 - 2s - loss: 0.1309 - categorical_accuracy: 0.9545 - val_loss: 0.4142 - val_categorical_accuracy: 0.8969 - 2s/epoch - 7ms/step
Epoch 559/1500
313/313 - 2s - loss: 0.1243 - categorical_accuracy: 0.9561 - val_loss: 1.1562 - val_categorical_accuracy: 0.7669 - 2s/epoch - 7ms/step
Epoch 560/1500
313/313 - 2s - loss: 0.1607 - categorical_accuracy: 0.9475 - val_loss: 0.5936 - val_categorical_accuracy: 0.8610 - 2s/epoch - 7ms/step
Epoch 561/1500
313/313 - 2s - loss: 0.1245 - categorical_accuracy: 0.9561 - val_loss: 0.3101 - val_categorical_accuracy: 0.9169 - 2s/epoch - 7ms/step
Epoch 562/1500
313/313 - 2s - loss: 0.1205 - categorical_accuracy: 0.9574 - val_loss: 0.6048 - val_categorical_accuracy: 0.8533 - 2s/epoch - 7ms/step
Epoch 563/1500
313/313 - 2s - loss: 0.1260 - categorical_accuracy: 0.9554 - val_loss: 0.7141 - val_categorical_accuracy: 0.8428 - 2s/epoch - 7ms/step
Epoch 564/1500
313/313 - 2s - loss: 0.1308 - categorical_accuracy: 0.9547 - val_loss: 0.3545 - val_categorical_accuracy: 0.9098 - 2s/epoch - 7ms/step
Epoch 565/1500
313/313 - 2s - loss: 0.1211 - categorical_accuracy: 0.9575 - val_loss: 0.5341 - val_categorical_accuracy: 0.8653 - 2s/epoch - 7ms/step
Epoch 566/1500
313/313 - 2s - loss: 0.1271 - categorical_accuracy: 0.9554 - val_loss: 0.3175 - val_categorical_accuracy: 0.9157 - 2s/epoch - 7ms/step
Epoch 567/1500
313/313 - 2s - loss: 0.1236 - categorical_accuracy: 0.9565 - val_loss: 0.5487 - val_categorical_accuracy: 0.8675 - 2s/epoch - 8ms/step
Epoch 568/1500
313/313 - 2s - loss: 0.1252 - categorical_accuracy: 0.9561 - val_loss: 0.4018 - val_categorical_accuracy: 0.9004 - 2s/epoch - 7ms/step
Epoch 569/1500
313/313 - 2s - loss: 0.1247 - categorical_accuracy: 0.9566 - val_loss: 0.3906 - val_categorical_accuracy: 0.8976 - 2s/epoch - 7ms/step
Epoch 570/1500
313/313 - 2s - loss: 0.1213 - categorical_accuracy: 0.9576 - val_loss: 0.6665 - val_categorical_accuracy: 0.8434 - 2s/epoch - 7ms/step
Epoch 571/1500
313/313 - 2s - loss: 0.1279 - categorical_accuracy: 0.9548 - val_loss: 0.3869 - val_categorical_accuracy: 0.9008 - 2s/epoch - 7ms/step
Epoch 572/1500
313/313 - 2s - loss: 0.1193 - categorical_accuracy: 0.9586 - val_loss: 0.3404 - val_categorical_accuracy: 0.9094 - 2s/epoch - 7ms/step
Epoch 573/1500
313/313 - 2s - loss: 0.1206 - categorical_accuracy: 0.9579 - val_loss: 0.3748 - val_categorical_accuracy: 0.8951 - 2s/epoch - 7ms/step
Epoch 574/1500
313/313 - 2s - loss: 0.1194 - categorical_accuracy: 0.9581 - val_loss: 0.4120 - val_categorical_accuracy: 0.8967 - 2s/epoch - 7ms/step
Epoch 575/1500
313/313 - 2s - loss: 0.1216 - categorical_accuracy: 0.9579 - val_loss: 0.8150 - val_categorical_accuracy: 0.8323 - 2s/epoch - 7ms/step
Epoch 576/1500
313/313 - 2s - loss: 0.1317 - categorical_accuracy: 0.9539 - val_loss: 0.7826 - val_categorical_accuracy: 0.8436 - 2s/epoch - 7ms/step
Epoch 577/1500
313/313 - 2s - loss: 0.1291 - categorical_accuracy: 0.9552 - val_loss: 0.4787 - val_categorical_accuracy: 0.8762 - 2s/epoch - 7ms/step
Epoch 578/1500
313/313 - 2s - loss: 0.1198 - categorical_accuracy: 0.9580 - val_loss: 0.5469 - val_categorical_accuracy: 0.8490 - 2s/epoch - 7ms/step
Epoch 579/1500
313/313 - 2s - loss: 0.1221 - categorical_accuracy: 0.9575 - val_loss: 0.7610 - val_categorical_accuracy: 0.8284 - 2s/epoch - 7ms/step
Epoch 580/1500
313/313 - 2s - loss: 0.1271 - categorical_accuracy: 0.9558 - val_loss: 0.3554 - val_categorical_accuracy: 0.9055 - 2s/epoch - 7ms/step
Epoch 581/1500
313/313 - 2s - loss: 0.1163 - categorical_accuracy: 0.9588 - val_loss: 0.3456 - val_categorical_accuracy: 0.9113 - 2s/epoch - 7ms/step
Epoch 582/1500
313/313 - 2s - loss: 0.1187 - categorical_accuracy: 0.9584 - val_loss: 1.3800 - val_categorical_accuracy: 0.7840 - 2s/epoch - 7ms/step
Epoch 583/1500
313/313 - 2s - loss: 0.1342 - categorical_accuracy: 0.9541 - val_loss: 0.3081 - val_categorical_accuracy: 0.9204 - 2s/epoch - 7ms/step
Epoch 584/1500
313/313 - 2s - loss: 0.1203 - categorical_accuracy: 0.9575 - val_loss: 0.6633 - val_categorical_accuracy: 0.8449 - 2s/epoch - 7ms/step
Epoch 585/1500
313/313 - 2s - loss: 0.1255 - categorical_accuracy: 0.9562 - val_loss: 0.5161 - val_categorical_accuracy: 0.8692 - 2s/epoch - 7ms/step
Epoch 586/1500
313/313 - 2s - loss: 0.1205 - categorical_accuracy: 0.9576 - val_loss: 0.3196 - val_categorical_accuracy: 0.9143 - 2s/epoch - 7ms/step
Epoch 587/1500
313/313 - 2s - loss: 0.1171 - categorical_accuracy: 0.9586 - val_loss: 3.1977 - val_categorical_accuracy: 0.6476 - 2s/epoch - 7ms/step
Epoch 588/1500
313/313 - 2s - loss: 0.1619 - categorical_accuracy: 0.9481 - val_loss: 0.3493 - val_categorical_accuracy: 0.9126 - 2s/epoch - 7ms/step
Epoch 589/1500
313/313 - 2s - loss: 0.1164 - categorical_accuracy: 0.9591 - val_loss: 2.4400 - val_categorical_accuracy: 0.6955 - 2s/epoch - 7ms/step
Epoch 590/1500
313/313 - 2s - loss: 0.1699 - categorical_accuracy: 0.9472 - val_loss: 0.4817 - val_categorical_accuracy: 0.8881 - 2s/epoch - 7ms/step
Epoch 591/1500
313/313 - 2s - loss: 0.1180 - categorical_accuracy: 0.9588 - val_loss: 0.3348 - val_categorical_accuracy: 0.9159 - 2s/epoch - 7ms/step
Epoch 592/1500
313/313 - 2s - loss: 0.1161 - categorical_accuracy: 0.9593 - val_loss: 0.5728 - val_categorical_accuracy: 0.8539 - 2s/epoch - 7ms/step
Epoch 593/1500
313/313 - 2s - loss: 0.1213 - categorical_accuracy: 0.9575 - val_loss: 1.1884 - val_categorical_accuracy: 0.8059 - 2s/epoch - 7ms/step
Epoch 594/1500
313/313 - 2s - loss: 0.1638 - categorical_accuracy: 0.9480 - val_loss: 0.3279 - val_categorical_accuracy: 0.9115 - 2s/epoch - 7ms/step
Epoch 595/1500
313/313 - 2s - loss: 0.1165 - categorical_accuracy: 0.9588 - val_loss: 0.3130 - val_categorical_accuracy: 0.9182 - 2s/epoch - 7ms/step
Epoch 596/1500
313/313 - 2s - loss: 0.1156 - categorical_accuracy: 0.9596 - val_loss: 0.3451 - val_categorical_accuracy: 0.9084 - 2s/epoch - 7ms/step
Epoch 597/1500
313/313 - 2s - loss: 0.1162 - categorical_accuracy: 0.9587 - val_loss: 0.3850 - val_categorical_accuracy: 0.8988 - 2s/epoch - 7ms/step
Epoch 598/1500
313/313 - 2s - loss: 0.1142 - categorical_accuracy: 0.9599 - val_loss: 0.7144 - val_categorical_accuracy: 0.8400 - 2s/epoch - 7ms/step
Epoch 599/1500
313/313 - 2s - loss: 0.1214 - categorical_accuracy: 0.9574 - val_loss: 0.8811 - val_categorical_accuracy: 0.8206 - 2s/epoch - 7ms/step
Epoch 600/1500
313/313 - 2s - loss: 0.1245 - categorical_accuracy: 0.9571 - val_loss: 0.7382 - val_categorical_accuracy: 0.8445 - 2s/epoch - 7ms/step
Epoch 601/1500
313/313 - 2s - loss: 0.1223 - categorical_accuracy: 0.9573 - val_loss: 0.6628 - val_categorical_accuracy: 0.8438 - 2s/epoch - 7ms/step
Epoch 602/1500
313/313 - 2s - loss: 0.1178 - categorical_accuracy: 0.9593 - val_loss: 0.3787 - val_categorical_accuracy: 0.9012 - 2s/epoch - 7ms/step
Epoch 603/1500
313/313 - 2s - loss: 0.1153 - categorical_accuracy: 0.9595 - val_loss: 0.7352 - val_categorical_accuracy: 0.8387 - 2s/epoch - 7ms/step
Epoch 604/1500
313/313 - 2s - loss: 0.1235 - categorical_accuracy: 0.9570 - val_loss: 0.5041 - val_categorical_accuracy: 0.8879 - 2s/epoch - 7ms/step
Epoch 605/1500
313/313 - 2s - loss: 0.1169 - categorical_accuracy: 0.9595 - val_loss: 0.3922 - val_categorical_accuracy: 0.9061 - 2s/epoch - 7ms/step
Epoch 606/1500
313/313 - 2s - loss: 0.1176 - categorical_accuracy: 0.9588 - val_loss: 0.3523 - val_categorical_accuracy: 0.9110 - 2s/epoch - 7ms/step
Epoch 607/1500
313/313 - 3s - loss: 0.1147 - categorical_accuracy: 0.9599 - val_loss: 0.5640 - val_categorical_accuracy: 0.8673 - 3s/epoch - 8ms/step
Epoch 608/1500
313/313 - 2s - loss: 0.1219 - categorical_accuracy: 0.9576 - val_loss: 0.4361 - val_categorical_accuracy: 0.8938 - 2s/epoch - 7ms/step
Epoch 609/1500
313/313 - 2s - loss: 0.1168 - categorical_accuracy: 0.9590 - val_loss: 0.4372 - val_categorical_accuracy: 0.8851 - 2s/epoch - 7ms/step
Epoch 610/1500
313/313 - 2s - loss: 0.1195 - categorical_accuracy: 0.9578 - val_loss: 0.5511 - val_categorical_accuracy: 0.8596 - 2s/epoch - 7ms/step
Epoch 611/1500
313/313 - 2s - loss: 0.1168 - categorical_accuracy: 0.9593 - val_loss: 0.3983 - val_categorical_accuracy: 0.9047 - 2s/epoch - 7ms/step
Epoch 612/1500
313/313 - 2s - loss: 0.1149 - categorical_accuracy: 0.9595 - val_loss: 0.3971 - val_categorical_accuracy: 0.8979 - 2s/epoch - 7ms/step
Epoch 613/1500
313/313 - 2s - loss: 0.1149 - categorical_accuracy: 0.9599 - val_loss: 0.5235 - val_categorical_accuracy: 0.8666 - 2s/epoch - 7ms/step
Epoch 614/1500
313/313 - 2s - loss: 0.1141 - categorical_accuracy: 0.9603 - val_loss: 0.6432 - val_categorical_accuracy: 0.8533 - 2s/epoch - 7ms/step
Epoch 615/1500
313/313 - 2s - loss: 0.1154 - categorical_accuracy: 0.9599 - val_loss: 0.3777 - val_categorical_accuracy: 0.9074 - 2s/epoch - 7ms/step
Epoch 616/1500
313/313 - 2s - loss: 0.1155 - categorical_accuracy: 0.9597 - val_loss: 0.4587 - val_categorical_accuracy: 0.8817 - 2s/epoch - 7ms/step
Epoch 617/1500
313/313 - 2s - loss: 0.1173 - categorical_accuracy: 0.9591 - val_loss: 0.4828 - val_categorical_accuracy: 0.8859 - 2s/epoch - 7ms/step
Epoch 618/1500
313/313 - 2s - loss: 0.1164 - categorical_accuracy: 0.9590 - val_loss: 0.3533 - val_categorical_accuracy: 0.9099 - 2s/epoch - 7ms/step
Epoch 619/1500
313/313 - 2s - loss: 0.1118 - categorical_accuracy: 0.9611 - val_loss: 0.5106 - val_categorical_accuracy: 0.8836 - 2s/epoch - 7ms/step
Epoch 620/1500
313/313 - 2s - loss: 0.1143 - categorical_accuracy: 0.9595 - val_loss: 0.4601 - val_categorical_accuracy: 0.8864 - 2s/epoch - 8ms/step
Epoch 621/1500
313/313 - 2s - loss: 0.1200 - categorical_accuracy: 0.9578 - val_loss: 0.4371 - val_categorical_accuracy: 0.8960 - 2s/epoch - 7ms/step
Epoch 622/1500
313/313 - 2s - loss: 0.1156 - categorical_accuracy: 0.9595 - val_loss: 0.5289 - val_categorical_accuracy: 0.8743 - 2s/epoch - 7ms/step
Epoch 623/1500
313/313 - 2s - loss: 0.1172 - categorical_accuracy: 0.9588 - val_loss: 0.4878 - val_categorical_accuracy: 0.8889 - 2s/epoch - 7ms/step
Epoch 624/1500
313/313 - 2s - loss: 0.1187 - categorical_accuracy: 0.9588 - val_loss: 0.9301 - val_categorical_accuracy: 0.7922 - 2s/epoch - 7ms/step
Epoch 625/1500
313/313 - 2s - loss: 0.1247 - categorical_accuracy: 0.9565 - val_loss: 0.5661 - val_categorical_accuracy: 0.8831 - 2s/epoch - 7ms/step
Epoch 626/1500
313/313 - 2s - loss: 0.1177 - categorical_accuracy: 0.9588 - val_loss: 0.4133 - val_categorical_accuracy: 0.9036 - 2s/epoch - 7ms/step
Epoch 627/1500
313/313 - 2s - loss: 0.1131 - categorical_accuracy: 0.9603 - val_loss: 0.3291 - val_categorical_accuracy: 0.9130 - 2s/epoch - 7ms/step
Epoch 628/1500
313/313 - 2s - loss: 0.1145 - categorical_accuracy: 0.9603 - val_loss: 0.7439 - val_categorical_accuracy: 0.8435 - 2s/epoch - 7ms/step
Epoch 629/1500
313/313 - 2s - loss: 0.1174 - categorical_accuracy: 0.9595 - val_loss: 0.3293 - val_categorical_accuracy: 0.9139 - 2s/epoch - 7ms/step
Epoch 630/1500
313/313 - 2s - loss: 0.1120 - categorical_accuracy: 0.9607 - val_loss: 0.9752 - val_categorical_accuracy: 0.8027 - 2s/epoch - 7ms/step
Epoch 631/1500
313/313 - 2s - loss: 0.1339 - categorical_accuracy: 0.9555 - val_loss: 0.5756 - val_categorical_accuracy: 0.8570 - 2s/epoch - 7ms/step
Epoch 632/1500
313/313 - 2s - loss: 0.1126 - categorical_accuracy: 0.9608 - val_loss: 0.4862 - val_categorical_accuracy: 0.8797 - 2s/epoch - 7ms/step
Epoch 633/1500
313/313 - 2s - loss: 0.1155 - categorical_accuracy: 0.9594 - val_loss: 0.3662 - val_categorical_accuracy: 0.9116 - 2s/epoch - 7ms/step
Epoch 634/1500
313/313 - 2s - loss: 0.1130 - categorical_accuracy: 0.9605 - val_loss: 0.8346 - val_categorical_accuracy: 0.8419 - 2s/epoch - 7ms/step
Epoch 635/1500
313/313 - 2s - loss: 0.1168 - categorical_accuracy: 0.9602 - val_loss: 0.3437 - val_categorical_accuracy: 0.9147 - 2s/epoch - 7ms/step
Epoch 636/1500
313/313 - 2s - loss: 0.1092 - categorical_accuracy: 0.9615 - val_loss: 0.3411 - val_categorical_accuracy: 0.9170 - 2s/epoch - 7ms/step
Epoch 637/1500
313/313 - 2s - loss: 0.1106 - categorical_accuracy: 0.9611 - val_loss: 0.4180 - val_categorical_accuracy: 0.9022 - 2s/epoch - 7ms/step
Epoch 638/1500
313/313 - 2s - loss: 0.1128 - categorical_accuracy: 0.9608 - val_loss: 0.3306 - val_categorical_accuracy: 0.9190 - 2s/epoch - 7ms/step
Epoch 639/1500
313/313 - 2s - loss: 0.1090 - categorical_accuracy: 0.9616 - val_loss: 0.7508 - val_categorical_accuracy: 0.8436 - 2s/epoch - 7ms/step
Epoch 640/1500
313/313 - 2s - loss: 0.1159 - categorical_accuracy: 0.9597 - val_loss: 0.4233 - val_categorical_accuracy: 0.8955 - 2s/epoch - 7ms/step
Epoch 641/1500
313/313 - 2s - loss: 0.1136 - categorical_accuracy: 0.9603 - val_loss: 0.3597 - val_categorical_accuracy: 0.9033 - 2s/epoch - 7ms/step
Epoch 642/1500
313/313 - 2s - loss: 0.1120 - categorical_accuracy: 0.9609 - val_loss: 0.9474 - val_categorical_accuracy: 0.8021 - 2s/epoch - 7ms/step
Epoch 643/1500
313/313 - 2s - loss: 0.1201 - categorical_accuracy: 0.9588 - val_loss: 1.1931 - val_categorical_accuracy: 0.7924 - 2s/epoch - 7ms/step
Epoch 644/1500
313/313 - 2s - loss: 0.1318 - categorical_accuracy: 0.9556 - val_loss: 0.6087 - val_categorical_accuracy: 0.8689 - 2s/epoch - 7ms/step
Epoch 645/1500
313/313 - 2s - loss: 0.1175 - categorical_accuracy: 0.9591 - val_loss: 4.6520 - val_categorical_accuracy: 0.6637 - 2s/epoch - 7ms/step
Epoch 646/1500
313/313 - 2s - loss: 0.3920 - categorical_accuracy: 0.8899 - val_loss: 0.3451 - val_categorical_accuracy: 0.9020 - 2s/epoch - 8ms/step
Epoch 647/1500
313/313 - 2s - loss: 0.1460 - categorical_accuracy: 0.9485 - val_loss: 0.8418 - val_categorical_accuracy: 0.8108 - 2s/epoch - 8ms/step
Epoch 648/1500
313/313 - 2s - loss: 0.1336 - categorical_accuracy: 0.9541 - val_loss: 0.4642 - val_categorical_accuracy: 0.8756 - 2s/epoch - 7ms/step
Epoch 649/1500
313/313 - 2s - loss: 0.1235 - categorical_accuracy: 0.9563 - val_loss: 0.3026 - val_categorical_accuracy: 0.9218 - 2s/epoch - 7ms/step
Epoch 650/1500
313/313 - 2s - loss: 0.1182 - categorical_accuracy: 0.9585 - val_loss: 1.2561 - val_categorical_accuracy: 0.7787 - 2s/epoch - 7ms/step
Epoch 651/1500
313/313 - 2s - loss: 0.1296 - categorical_accuracy: 0.9549 - val_loss: 0.3316 - val_categorical_accuracy: 0.9123 - 2s/epoch - 7ms/step
Epoch 652/1500
313/313 - 2s - loss: 0.1119 - categorical_accuracy: 0.9604 - val_loss: 0.5718 - val_categorical_accuracy: 0.8665 - 2s/epoch - 7ms/step
Epoch 653/1500
313/313 - 2s - loss: 0.1151 - categorical_accuracy: 0.9594 - val_loss: 0.3078 - val_categorical_accuracy: 0.9247 - 2s/epoch - 7ms/step
Epoch 654/1500
313/313 - 2s - loss: 0.1113 - categorical_accuracy: 0.9609 - val_loss: 0.4391 - val_categorical_accuracy: 0.8928 - 2s/epoch - 7ms/step
Epoch 655/1500
313/313 - 2s - loss: 0.1122 - categorical_accuracy: 0.9606 - val_loss: 0.7207 - val_categorical_accuracy: 0.8532 - 2s/epoch - 7ms/step
Epoch 656/1500
313/313 - 2s - loss: 0.1194 - categorical_accuracy: 0.9585 - val_loss: 0.3326 - val_categorical_accuracy: 0.9109 - 2s/epoch - 7ms/step
Epoch 657/1500
313/313 - 2s - loss: 0.1113 - categorical_accuracy: 0.9608 - val_loss: 0.6525 - val_categorical_accuracy: 0.8489 - 2s/epoch - 7ms/step
Epoch 658/1500
313/313 - 2s - loss: 0.1170 - categorical_accuracy: 0.9591 - val_loss: 0.3608 - val_categorical_accuracy: 0.9122 - 2s/epoch - 7ms/step
Epoch 659/1500
313/313 - 2s - loss: 0.1101 - categorical_accuracy: 0.9611 - val_loss: 0.3399 - val_categorical_accuracy: 0.9183 - 2s/epoch - 7ms/step
Epoch 660/1500
313/313 - 2s - loss: 0.1081 - categorical_accuracy: 0.9623 - val_loss: 0.4772 - val_categorical_accuracy: 0.8960 - 2s/epoch - 7ms/step
Epoch 661/1500
313/313 - 2s - loss: 0.1121 - categorical_accuracy: 0.9604 - val_loss: 0.3977 - val_categorical_accuracy: 0.8913 - 2s/epoch - 7ms/step
Epoch 662/1500
313/313 - 2s - loss: 0.1094 - categorical_accuracy: 0.9621 - val_loss: 0.3128 - val_categorical_accuracy: 0.9216 - 2s/epoch - 7ms/step
Epoch 663/1500
313/313 - 2s - loss: 0.1089 - categorical_accuracy: 0.9613 - val_loss: 1.0690 - val_categorical_accuracy: 0.7979 - 2s/epoch - 7ms/step
Epoch 664/1500
313/313 - 2s - loss: 0.1161 - categorical_accuracy: 0.9599 - val_loss: 0.4167 - val_categorical_accuracy: 0.9029 - 2s/epoch - 7ms/step
Epoch 665/1500
313/313 - 2s - loss: 0.1099 - categorical_accuracy: 0.9615 - val_loss: 0.3333 - val_categorical_accuracy: 0.9193 - 2s/epoch - 7ms/step
Epoch 666/1500
313/313 - 2s - loss: 0.1084 - categorical_accuracy: 0.9627 - val_loss: 0.6373 - val_categorical_accuracy: 0.8584 - 2s/epoch - 7ms/step
Epoch 667/1500
313/313 - 2s - loss: 0.1135 - categorical_accuracy: 0.9607 - val_loss: 0.5582 - val_categorical_accuracy: 0.8719 - 2s/epoch - 7ms/step
Epoch 668/1500
313/313 - 2s - loss: 0.1105 - categorical_accuracy: 0.9616 - val_loss: 1.3801 - val_categorical_accuracy: 0.7563 - 2s/epoch - 7ms/step
Epoch 669/1500
313/313 - 2s - loss: 0.1266 - categorical_accuracy: 0.9565 - val_loss: 0.5570 - val_categorical_accuracy: 0.8752 - 2s/epoch - 7ms/step
Epoch 670/1500
313/313 - 2s - loss: 0.1125 - categorical_accuracy: 0.9608 - val_loss: 0.5106 - val_categorical_accuracy: 0.8786 - 2s/epoch - 7ms/step
Epoch 671/1500
313/313 - 2s - loss: 0.1101 - categorical_accuracy: 0.9615 - val_loss: 0.5395 - val_categorical_accuracy: 0.8681 - 2s/epoch - 7ms/step
Epoch 672/1500
313/313 - 2s - loss: 0.1110 - categorical_accuracy: 0.9611 - val_loss: 0.5041 - val_categorical_accuracy: 0.8849 - 2s/epoch - 8ms/step
Epoch 673/1500
313/313 - 2s - loss: 0.1162 - categorical_accuracy: 0.9594 - val_loss: 0.6698 - val_categorical_accuracy: 0.8514 - 2s/epoch - 7ms/step
Epoch 674/1500
313/313 - 2s - loss: 0.1131 - categorical_accuracy: 0.9607 - val_loss: 0.4855 - val_categorical_accuracy: 0.8840 - 2s/epoch - 7ms/step
Epoch 675/1500
313/313 - 2s - loss: 0.1084 - categorical_accuracy: 0.9620 - val_loss: 0.5364 - val_categorical_accuracy: 0.8749 - 2s/epoch - 7ms/step
Epoch 676/1500
313/313 - 2s - loss: 0.1076 - categorical_accuracy: 0.9624 - val_loss: 0.5389 - val_categorical_accuracy: 0.8823 - 2s/epoch - 7ms/step
Epoch 677/1500
313/313 - 2s - loss: 0.1085 - categorical_accuracy: 0.9622 - val_loss: 0.3373 - val_categorical_accuracy: 0.9180 - 2s/epoch - 7ms/step
Epoch 678/1500
313/313 - 2s - loss: 0.1070 - categorical_accuracy: 0.9627 - val_loss: 0.4269 - val_categorical_accuracy: 0.8974 - 2s/epoch - 7ms/step
Epoch 679/1500
313/313 - 2s - loss: 0.1090 - categorical_accuracy: 0.9618 - val_loss: 1.2137 - val_categorical_accuracy: 0.7650 - 2s/epoch - 7ms/step
Epoch 680/1500
313/313 - 2s - loss: 0.1185 - categorical_accuracy: 0.9592 - val_loss: 0.3121 - val_categorical_accuracy: 0.9249 - 2s/epoch - 7ms/step
Epoch 681/1500
313/313 - 2s - loss: 0.1076 - categorical_accuracy: 0.9629 - val_loss: 0.4852 - val_categorical_accuracy: 0.8804 - 2s/epoch - 7ms/step
Epoch 682/1500
313/313 - 2s - loss: 0.1096 - categorical_accuracy: 0.9615 - val_loss: 0.6138 - val_categorical_accuracy: 0.8648 - 2s/epoch - 7ms/step
Epoch 683/1500
313/313 - 2s - loss: 0.1123 - categorical_accuracy: 0.9604 - val_loss: 0.5683 - val_categorical_accuracy: 0.8716 - 2s/epoch - 7ms/step
Epoch 684/1500
313/313 - 2s - loss: 0.1112 - categorical_accuracy: 0.9608 - val_loss: 0.4491 - val_categorical_accuracy: 0.8912 - 2s/epoch - 7ms/step
Epoch 685/1500
313/313 - 2s - loss: 0.1062 - categorical_accuracy: 0.9630 - val_loss: 0.4392 - val_categorical_accuracy: 0.8914 - 2s/epoch - 7ms/step
Epoch 686/1500
313/313 - 2s - loss: 0.1084 - categorical_accuracy: 0.9622 - val_loss: 2.6838 - val_categorical_accuracy: 0.6699 - 2s/epoch - 7ms/step
Epoch 687/1500
313/313 - 2s - loss: 0.3377 - categorical_accuracy: 0.9038 - val_loss: 0.4093 - val_categorical_accuracy: 0.8893 - 2s/epoch - 7ms/step
Epoch 688/1500
313/313 - 2s - loss: 0.1297 - categorical_accuracy: 0.9541 - val_loss: 0.2984 - val_categorical_accuracy: 0.9239 - 2s/epoch - 7ms/step
Epoch 689/1500
313/313 - 2s - loss: 0.1174 - categorical_accuracy: 0.9587 - val_loss: 0.5244 - val_categorical_accuracy: 0.8758 - 2s/epoch - 7ms/step
Epoch 690/1500
313/313 - 2s - loss: 0.1184 - categorical_accuracy: 0.9587 - val_loss: 0.3027 - val_categorical_accuracy: 0.9217 - 2s/epoch - 7ms/step
Epoch 691/1500
313/313 - 2s - loss: 0.1075 - categorical_accuracy: 0.9625 - val_loss: 0.8100 - val_categorical_accuracy: 0.8338 - 2s/epoch - 7ms/step
Epoch 692/1500
313/313 - 2s - loss: 0.1172 - categorical_accuracy: 0.9590 - val_loss: 0.4023 - val_categorical_accuracy: 0.9079 - 2s/epoch - 7ms/step
Epoch 693/1500
313/313 - 2s - loss: 0.1083 - categorical_accuracy: 0.9617 - val_loss: 0.6190 - val_categorical_accuracy: 0.8694 - 2s/epoch - 7ms/step
Epoch 694/1500
313/313 - 2s - loss: 0.1112 - categorical_accuracy: 0.9613 - val_loss: 0.4373 - val_categorical_accuracy: 0.8899 - 2s/epoch - 7ms/step
Epoch 695/1500
313/313 - 2s - loss: 0.1071 - categorical_accuracy: 0.9622 - val_loss: 0.3423 - val_categorical_accuracy: 0.9172 - 2s/epoch - 7ms/step
Epoch 696/1500
313/313 - 2s - loss: 0.1066 - categorical_accuracy: 0.9625 - val_loss: 0.4603 - val_categorical_accuracy: 0.8993 - 2s/epoch - 7ms/step
Epoch 697/1500
313/313 - 2s - loss: 0.1064 - categorical_accuracy: 0.9626 - val_loss: 2.0770 - val_categorical_accuracy: 0.7017 - 2s/epoch - 7ms/step
Epoch 698/1500
313/313 - 2s - loss: 0.1482 - categorical_accuracy: 0.9529 - val_loss: 0.3325 - val_categorical_accuracy: 0.9148 - 2s/epoch - 8ms/step
Epoch 699/1500
313/313 - 2s - loss: 0.1055 - categorical_accuracy: 0.9633 - val_loss: 0.8536 - val_categorical_accuracy: 0.8433 - 2s/epoch - 8ms/step
Epoch 700/1500
313/313 - 2s - loss: 0.1144 - categorical_accuracy: 0.9600 - val_loss: 0.7711 - val_categorical_accuracy: 0.8496 - 2s/epoch - 7ms/step
Epoch 701/1500
313/313 - 2s - loss: 0.1075 - categorical_accuracy: 0.9624 - val_loss: 0.4551 - val_categorical_accuracy: 0.8848 - 2s/epoch - 7ms/step
Epoch 702/1500
313/313 - 2s - loss: 0.1068 - categorical_accuracy: 0.9629 - val_loss: 0.3338 - val_categorical_accuracy: 0.9189 - 2s/epoch - 7ms/step
Epoch 703/1500
313/313 - 2s - loss: 0.1024 - categorical_accuracy: 0.9643 - val_loss: 0.6562 - val_categorical_accuracy: 0.8465 - 2s/epoch - 7ms/step
Epoch 704/1500
313/313 - 2s - loss: 0.1134 - categorical_accuracy: 0.9609 - val_loss: 0.4705 - val_categorical_accuracy: 0.8904 - 2s/epoch - 7ms/step
Epoch 705/1500
313/313 - 2s - loss: 0.1049 - categorical_accuracy: 0.9633 - val_loss: 0.3207 - val_categorical_accuracy: 0.9222 - 2s/epoch - 7ms/step
Epoch 706/1500
313/313 - 2s - loss: 0.1027 - categorical_accuracy: 0.9639 - val_loss: 0.8425 - val_categorical_accuracy: 0.8320 - 2s/epoch - 7ms/step
Epoch 707/1500
313/313 - 3s - loss: 0.1194 - categorical_accuracy: 0.9597 - val_loss: 0.5524 - val_categorical_accuracy: 0.8704 - 3s/epoch - 10ms/step
Epoch 708/1500
313/313 - 3s - loss: 0.1100 - categorical_accuracy: 0.9616 - val_loss: 0.4481 - val_categorical_accuracy: 0.8834 - 3s/epoch - 9ms/step
Epoch 709/1500
313/313 - 3s - loss: 0.1045 - categorical_accuracy: 0.9631 - val_loss: 0.3755 - val_categorical_accuracy: 0.9104 - 3s/epoch - 10ms/step
Epoch 710/1500
313/313 - 3s - loss: 0.1013 - categorical_accuracy: 0.9645 - val_loss: 0.3364 - val_categorical_accuracy: 0.9135 - 3s/epoch - 8ms/step
Epoch 711/1500
313/313 - 2s - loss: 0.1043 - categorical_accuracy: 0.9633 - val_loss: 0.3850 - val_categorical_accuracy: 0.9078 - 2s/epoch - 8ms/step
Epoch 712/1500
313/313 - 2s - loss: 0.1031 - categorical_accuracy: 0.9638 - val_loss: 0.3505 - val_categorical_accuracy: 0.9153 - 2s/epoch - 8ms/step
Epoch 713/1500
313/313 - 2s - loss: 0.1030 - categorical_accuracy: 0.9641 - val_loss: 0.4818 - val_categorical_accuracy: 0.8837 - 2s/epoch - 8ms/step
Epoch 714/1500
313/313 - 2s - loss: 0.1060 - categorical_accuracy: 0.9630 - val_loss: 0.4006 - val_categorical_accuracy: 0.9086 - 2s/epoch - 8ms/step
Epoch 715/1500
313/313 - 2s - loss: 0.1083 - categorical_accuracy: 0.9623 - val_loss: 0.5580 - val_categorical_accuracy: 0.8737 - 2s/epoch - 8ms/step
Epoch 716/1500
313/313 - 2s - loss: 0.1081 - categorical_accuracy: 0.9616 - val_loss: 0.3099 - val_categorical_accuracy: 0.9266 - 2s/epoch - 8ms/step
Epoch 717/1500
313/313 - 2s - loss: 0.1031 - categorical_accuracy: 0.9640 - val_loss: 0.3826 - val_categorical_accuracy: 0.9083 - 2s/epoch - 8ms/step
Epoch 718/1500
313/313 - 2s - loss: 0.1044 - categorical_accuracy: 0.9632 - val_loss: 0.3258 - val_categorical_accuracy: 0.9235 - 2s/epoch - 8ms/step
Epoch 719/1500
313/313 - 2s - loss: 0.1022 - categorical_accuracy: 0.9637 - val_loss: 0.6381 - val_categorical_accuracy: 0.8761 - 2s/epoch - 8ms/step
Epoch 720/1500
313/313 - 2s - loss: 0.1102 - categorical_accuracy: 0.9617 - val_loss: 0.6340 - val_categorical_accuracy: 0.8713 - 2s/epoch - 8ms/step
Epoch 721/1500
313/313 - 2s - loss: 0.1078 - categorical_accuracy: 0.9621 - val_loss: 0.5680 - val_categorical_accuracy: 0.8790 - 2s/epoch - 8ms/step
Epoch 722/1500
313/313 - 2s - loss: 0.1062 - categorical_accuracy: 0.9628 - val_loss: 0.3374 - val_categorical_accuracy: 0.9159 - 2s/epoch - 8ms/step
Epoch 723/1500
313/313 - 2s - loss: 0.1057 - categorical_accuracy: 0.9632 - val_loss: 1.1505 - val_categorical_accuracy: 0.7906 - 2s/epoch - 8ms/step
Epoch 724/1500
313/313 - 2s - loss: 0.1174 - categorical_accuracy: 0.9593 - val_loss: 0.7028 - val_categorical_accuracy: 0.8438 - 2s/epoch - 8ms/step
Epoch 725/1500
313/313 - 2s - loss: 0.1102 - categorical_accuracy: 0.9615 - val_loss: 0.4473 - val_categorical_accuracy: 0.8977 - 2s/epoch - 8ms/step
Epoch 726/1500
313/313 - 2s - loss: 0.1055 - categorical_accuracy: 0.9626 - val_loss: 0.3812 - val_categorical_accuracy: 0.9092 - 2s/epoch - 8ms/step
Epoch 727/1500
313/313 - 2s - loss: 0.1024 - categorical_accuracy: 0.9640 - val_loss: 0.3845 - val_categorical_accuracy: 0.9103 - 2s/epoch - 8ms/step
Epoch 728/1500
313/313 - 2s - loss: 0.1039 - categorical_accuracy: 0.9638 - val_loss: 0.3279 - val_categorical_accuracy: 0.9206 - 2s/epoch - 8ms/step
Epoch 729/1500
313/313 - 2s - loss: 0.1013 - categorical_accuracy: 0.9643 - val_loss: 0.3069 - val_categorical_accuracy: 0.9281 - 2s/epoch - 8ms/step
Epoch 730/1500
313/313 - 2s - loss: 0.1025 - categorical_accuracy: 0.9637 - val_loss: 0.3229 - val_categorical_accuracy: 0.9260 - 2s/epoch - 8ms/step
Epoch 731/1500
313/313 - 2s - loss: 0.1037 - categorical_accuracy: 0.9634 - val_loss: 0.3522 - val_categorical_accuracy: 0.9174 - 2s/epoch - 8ms/step
Epoch 732/1500
313/313 - 2s - loss: 0.1021 - categorical_accuracy: 0.9643 - val_loss: 0.3320 - val_categorical_accuracy: 0.9226 - 2s/epoch - 8ms/step
Epoch 733/1500
313/313 - 2s - loss: 0.1072 - categorical_accuracy: 0.9627 - val_loss: 1.3294 - val_categorical_accuracy: 0.7666 - 2s/epoch - 8ms/step
Epoch 734/1500
313/313 - 2s - loss: 0.1255 - categorical_accuracy: 0.9574 - val_loss: 1.0873 - val_categorical_accuracy: 0.7808 - 2s/epoch - 8ms/step
Epoch 735/1500
313/313 - 2s - loss: 0.1191 - categorical_accuracy: 0.9596 - val_loss: 0.3794 - val_categorical_accuracy: 0.9078 - 2s/epoch - 8ms/step
Epoch 736/1500
313/313 - 2s - loss: 0.0999 - categorical_accuracy: 0.9651 - val_loss: 0.7652 - val_categorical_accuracy: 0.8346 - 2s/epoch - 8ms/step
Epoch 737/1500
313/313 - 2s - loss: 0.1087 - categorical_accuracy: 0.9620 - val_loss: 0.3283 - val_categorical_accuracy: 0.9217 - 2s/epoch - 8ms/step
Epoch 738/1500
313/313 - 2s - loss: 0.1037 - categorical_accuracy: 0.9634 - val_loss: 2.2021 - val_categorical_accuracy: 0.7134 - 2s/epoch - 8ms/step
Epoch 739/1500
313/313 - 2s - loss: 0.1488 - categorical_accuracy: 0.9524 - val_loss: 0.3501 - val_categorical_accuracy: 0.9134 - 2s/epoch - 8ms/step
Epoch 740/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9644 - val_loss: 0.3889 - val_categorical_accuracy: 0.9020 - 2s/epoch - 8ms/step
Epoch 741/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9636 - val_loss: 0.3284 - val_categorical_accuracy: 0.9245 - 2s/epoch - 8ms/step
Epoch 742/1500
313/313 - 2s - loss: 0.1064 - categorical_accuracy: 0.9622 - val_loss: 0.5995 - val_categorical_accuracy: 0.8678 - 2s/epoch - 8ms/step
Epoch 743/1500
313/313 - 2s - loss: 0.1084 - categorical_accuracy: 0.9627 - val_loss: 0.4339 - val_categorical_accuracy: 0.8940 - 2s/epoch - 8ms/step
Epoch 744/1500
313/313 - 2s - loss: 0.1022 - categorical_accuracy: 0.9643 - val_loss: 0.3825 - val_categorical_accuracy: 0.9052 - 2s/epoch - 8ms/step
Epoch 745/1500
313/313 - 2s - loss: 0.1021 - categorical_accuracy: 0.9643 - val_loss: 0.4922 - val_categorical_accuracy: 0.8889 - 2s/epoch - 8ms/step
Epoch 746/1500
313/313 - 2s - loss: 0.1044 - categorical_accuracy: 0.9638 - val_loss: 1.2748 - val_categorical_accuracy: 0.7510 - 2s/epoch - 8ms/step
Epoch 747/1500
313/313 - 2s - loss: 0.1117 - categorical_accuracy: 0.9619 - val_loss: 1.3023 - val_categorical_accuracy: 0.7934 - 2s/epoch - 8ms/step
Epoch 748/1500
313/313 - 2s - loss: 0.1198 - categorical_accuracy: 0.9590 - val_loss: 0.7202 - val_categorical_accuracy: 0.8512 - 2s/epoch - 8ms/step
Epoch 749/1500
313/313 - 2s - loss: 0.1099 - categorical_accuracy: 0.9617 - val_loss: 0.9850 - val_categorical_accuracy: 0.8298 - 2s/epoch - 8ms/step
Epoch 750/1500
313/313 - 2s - loss: 0.1148 - categorical_accuracy: 0.9606 - val_loss: 0.5823 - val_categorical_accuracy: 0.8658 - 2s/epoch - 8ms/step
Epoch 751/1500
313/313 - 2s - loss: 0.1061 - categorical_accuracy: 0.9629 - val_loss: 0.7036 - val_categorical_accuracy: 0.8496 - 2s/epoch - 8ms/step
Epoch 752/1500
313/313 - 2s - loss: 0.1113 - categorical_accuracy: 0.9612 - val_loss: 0.4302 - val_categorical_accuracy: 0.9031 - 2s/epoch - 8ms/step
Epoch 753/1500
313/313 - 2s - loss: 0.1031 - categorical_accuracy: 0.9637 - val_loss: 0.3330 - val_categorical_accuracy: 0.9255 - 2s/epoch - 8ms/step
Epoch 754/1500
313/313 - 2s - loss: 0.1008 - categorical_accuracy: 0.9645 - val_loss: 0.3659 - val_categorical_accuracy: 0.9154 - 2s/epoch - 8ms/step
Epoch 755/1500
313/313 - 2s - loss: 0.1005 - categorical_accuracy: 0.9652 - val_loss: 0.3286 - val_categorical_accuracy: 0.9218 - 2s/epoch - 8ms/step
Epoch 756/1500
313/313 - 2s - loss: 0.1021 - categorical_accuracy: 0.9640 - val_loss: 0.4349 - val_categorical_accuracy: 0.8973 - 2s/epoch - 8ms/step
Epoch 757/1500
313/313 - 2s - loss: 0.1015 - categorical_accuracy: 0.9644 - val_loss: 0.3691 - val_categorical_accuracy: 0.9112 - 2s/epoch - 8ms/step
Epoch 758/1500
313/313 - 2s - loss: 0.1004 - categorical_accuracy: 0.9652 - val_loss: 0.4884 - val_categorical_accuracy: 0.8922 - 2s/epoch - 8ms/step
Epoch 759/1500
313/313 - 2s - loss: 0.1035 - categorical_accuracy: 0.9640 - val_loss: 0.5006 - val_categorical_accuracy: 0.8848 - 2s/epoch - 8ms/step
Epoch 760/1500
313/313 - 2s - loss: 0.1031 - categorical_accuracy: 0.9632 - val_loss: 0.3913 - val_categorical_accuracy: 0.9108 - 2s/epoch - 8ms/step
Epoch 761/1500
313/313 - 2s - loss: 0.1028 - categorical_accuracy: 0.9637 - val_loss: 1.1095 - val_categorical_accuracy: 0.8049 - 2s/epoch - 8ms/step
Epoch 762/1500
313/313 - 2s - loss: 0.1246 - categorical_accuracy: 0.9578 - val_loss: 0.4319 - val_categorical_accuracy: 0.8923 - 2s/epoch - 8ms/step
Epoch 763/1500
313/313 - 2s - loss: 0.1026 - categorical_accuracy: 0.9640 - val_loss: 0.5222 - val_categorical_accuracy: 0.8836 - 2s/epoch - 8ms/step
Epoch 764/1500
313/313 - 2s - loss: 0.1034 - categorical_accuracy: 0.9638 - val_loss: 0.3384 - val_categorical_accuracy: 0.9213 - 2s/epoch - 8ms/step
Epoch 765/1500
313/313 - 2s - loss: 0.1030 - categorical_accuracy: 0.9636 - val_loss: 0.3324 - val_categorical_accuracy: 0.9258 - 2s/epoch - 8ms/step
Epoch 766/1500
313/313 - 2s - loss: 0.1020 - categorical_accuracy: 0.9643 - val_loss: 0.6390 - val_categorical_accuracy: 0.8620 - 2s/epoch - 8ms/step
Epoch 767/1500
313/313 - 2s - loss: 0.1069 - categorical_accuracy: 0.9626 - val_loss: 1.0819 - val_categorical_accuracy: 0.8234 - 2s/epoch - 8ms/step
Epoch 768/1500
313/313 - 2s - loss: 0.1100 - categorical_accuracy: 0.9624 - val_loss: 0.4305 - val_categorical_accuracy: 0.8951 - 2s/epoch - 8ms/step
Epoch 769/1500
313/313 - 2s - loss: 0.1018 - categorical_accuracy: 0.9642 - val_loss: 0.3571 - val_categorical_accuracy: 0.9144 - 2s/epoch - 8ms/step
Epoch 770/1500
313/313 - 2s - loss: 0.0992 - categorical_accuracy: 0.9655 - val_loss: 0.3311 - val_categorical_accuracy: 0.9260 - 2s/epoch - 8ms/step
Epoch 771/1500
313/313 - 2s - loss: 0.1001 - categorical_accuracy: 0.9650 - val_loss: 0.4184 - val_categorical_accuracy: 0.9008 - 2s/epoch - 8ms/step
Epoch 772/1500
313/313 - 2s - loss: 0.1020 - categorical_accuracy: 0.9640 - val_loss: 0.3299 - val_categorical_accuracy: 0.9246 - 2s/epoch - 8ms/step
Epoch 773/1500
313/313 - 2s - loss: 0.1014 - categorical_accuracy: 0.9643 - val_loss: 0.3430 - val_categorical_accuracy: 0.9189 - 2s/epoch - 8ms/step
Epoch 774/1500
313/313 - 2s - loss: 0.1027 - categorical_accuracy: 0.9640 - val_loss: 0.3763 - val_categorical_accuracy: 0.9066 - 2s/epoch - 8ms/step
Epoch 775/1500
313/313 - 2s - loss: 0.0990 - categorical_accuracy: 0.9651 - val_loss: 0.7718 - val_categorical_accuracy: 0.8472 - 2s/epoch - 8ms/step
Epoch 776/1500
313/313 - 2s - loss: 0.1090 - categorical_accuracy: 0.9629 - val_loss: 0.8377 - val_categorical_accuracy: 0.8594 - 2s/epoch - 8ms/step
Epoch 777/1500
313/313 - 2s - loss: 0.1035 - categorical_accuracy: 0.9637 - val_loss: 0.3268 - val_categorical_accuracy: 0.9235 - 2s/epoch - 8ms/step
Epoch 778/1500
313/313 - 2s - loss: 0.0992 - categorical_accuracy: 0.9654 - val_loss: 0.3927 - val_categorical_accuracy: 0.9090 - 2s/epoch - 8ms/step
Epoch 779/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9641 - val_loss: 1.0570 - val_categorical_accuracy: 0.8207 - 2s/epoch - 8ms/step
Epoch 780/1500
313/313 - 2s - loss: 0.1153 - categorical_accuracy: 0.9609 - val_loss: 0.3328 - val_categorical_accuracy: 0.9254 - 2s/epoch - 8ms/step
Epoch 781/1500
313/313 - 2s - loss: 0.1018 - categorical_accuracy: 0.9643 - val_loss: 0.3771 - val_categorical_accuracy: 0.9165 - 2s/epoch - 8ms/step
Epoch 782/1500
313/313 - 2s - loss: 0.0982 - categorical_accuracy: 0.9658 - val_loss: 0.3394 - val_categorical_accuracy: 0.9211 - 2s/epoch - 8ms/step
Epoch 783/1500
313/313 - 2s - loss: 0.1023 - categorical_accuracy: 0.9641 - val_loss: 0.3743 - val_categorical_accuracy: 0.9139 - 2s/epoch - 8ms/step
Epoch 784/1500
313/313 - 2s - loss: 0.1018 - categorical_accuracy: 0.9641 - val_loss: 0.5877 - val_categorical_accuracy: 0.8778 - 2s/epoch - 8ms/step
Epoch 785/1500
313/313 - 2s - loss: 0.1072 - categorical_accuracy: 0.9625 - val_loss: 0.3483 - val_categorical_accuracy: 0.9214 - 2s/epoch - 8ms/step
Epoch 786/1500
313/313 - 2s - loss: 0.1003 - categorical_accuracy: 0.9645 - val_loss: 0.6066 - val_categorical_accuracy: 0.8680 - 2s/epoch - 8ms/step
Epoch 787/1500
313/313 - 2s - loss: 0.1054 - categorical_accuracy: 0.9633 - val_loss: 0.6079 - val_categorical_accuracy: 0.8814 - 2s/epoch - 8ms/step
Epoch 788/1500
313/313 - 2s - loss: 0.1053 - categorical_accuracy: 0.9633 - val_loss: 0.8470 - val_categorical_accuracy: 0.8419 - 2s/epoch - 8ms/step
Epoch 789/1500
313/313 - 2s - loss: 0.1106 - categorical_accuracy: 0.9621 - val_loss: 0.3726 - val_categorical_accuracy: 0.9144 - 2s/epoch - 8ms/step
Epoch 790/1500
313/313 - 2s - loss: 0.1006 - categorical_accuracy: 0.9644 - val_loss: 0.3998 - val_categorical_accuracy: 0.9049 - 2s/epoch - 8ms/step
Epoch 791/1500
313/313 - 2s - loss: 0.1022 - categorical_accuracy: 0.9641 - val_loss: 0.3892 - val_categorical_accuracy: 0.9115 - 2s/epoch - 8ms/step
Epoch 792/1500
313/313 - 2s - loss: 0.1009 - categorical_accuracy: 0.9649 - val_loss: 0.3309 - val_categorical_accuracy: 0.9241 - 2s/epoch - 8ms/step
Epoch 793/1500
313/313 - 2s - loss: 0.0978 - categorical_accuracy: 0.9659 - val_loss: 0.4397 - val_categorical_accuracy: 0.8996 - 2s/epoch - 8ms/step
Epoch 794/1500
313/313 - 2s - loss: 0.1003 - categorical_accuracy: 0.9655 - val_loss: 0.3492 - val_categorical_accuracy: 0.9210 - 2s/epoch - 8ms/step
Epoch 795/1500
313/313 - 2s - loss: 0.0973 - categorical_accuracy: 0.9655 - val_loss: 1.2348 - val_categorical_accuracy: 0.7935 - 2s/epoch - 8ms/step
Epoch 796/1500
313/313 - 2s - loss: 0.1210 - categorical_accuracy: 0.9596 - val_loss: 0.3507 - val_categorical_accuracy: 0.9213 - 2s/epoch - 8ms/step
Epoch 797/1500
313/313 - 3s - loss: 0.1013 - categorical_accuracy: 0.9644 - val_loss: 0.4228 - val_categorical_accuracy: 0.9089 - 3s/epoch - 8ms/step
Epoch 798/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9642 - val_loss: 0.3500 - val_categorical_accuracy: 0.9201 - 2s/epoch - 8ms/step
Epoch 799/1500
313/313 - 2s - loss: 0.0997 - categorical_accuracy: 0.9648 - val_loss: 2.1994 - val_categorical_accuracy: 0.6970 - 2s/epoch - 8ms/step
Epoch 800/1500
313/313 - 2s - loss: 0.1659 - categorical_accuracy: 0.9504 - val_loss: 0.3124 - val_categorical_accuracy: 0.9289 - 2s/epoch - 8ms/step
Epoch 801/1500
313/313 - 2s - loss: 0.0980 - categorical_accuracy: 0.9654 - val_loss: 0.3543 - val_categorical_accuracy: 0.9189 - 2s/epoch - 8ms/step
Epoch 802/1500
313/313 - 2s - loss: 0.0973 - categorical_accuracy: 0.9660 - val_loss: 0.3959 - val_categorical_accuracy: 0.9096 - 2s/epoch - 8ms/step
Epoch 803/1500
313/313 - 3s - loss: 0.0977 - categorical_accuracy: 0.9655 - val_loss: 0.4580 - val_categorical_accuracy: 0.8960 - 3s/epoch - 8ms/step
Epoch 804/1500
313/313 - 2s - loss: 0.1004 - categorical_accuracy: 0.9646 - val_loss: 1.6909 - val_categorical_accuracy: 0.7224 - 2s/epoch - 7ms/step
Epoch 805/1500
313/313 - 2s - loss: 0.1270 - categorical_accuracy: 0.9582 - val_loss: 0.5812 - val_categorical_accuracy: 0.8766 - 2s/epoch - 7ms/step
Epoch 806/1500
313/313 - 2s - loss: 0.1033 - categorical_accuracy: 0.9642 - val_loss: 0.9639 - val_categorical_accuracy: 0.8261 - 2s/epoch - 7ms/step
Epoch 807/1500
313/313 - 2s - loss: 0.1072 - categorical_accuracy: 0.9626 - val_loss: 0.3933 - val_categorical_accuracy: 0.9118 - 2s/epoch - 7ms/step
Epoch 808/1500
313/313 - 2s - loss: 0.0993 - categorical_accuracy: 0.9651 - val_loss: 0.4529 - val_categorical_accuracy: 0.8990 - 2s/epoch - 8ms/step
Epoch 809/1500
313/313 - 2s - loss: 0.0997 - categorical_accuracy: 0.9650 - val_loss: 0.4340 - val_categorical_accuracy: 0.8967 - 2s/epoch - 7ms/step
Epoch 810/1500
313/313 - 2s - loss: 0.0973 - categorical_accuracy: 0.9663 - val_loss: 0.3911 - val_categorical_accuracy: 0.9150 - 2s/epoch - 7ms/step
Epoch 811/1500
313/313 - 2s - loss: 0.0964 - categorical_accuracy: 0.9662 - val_loss: 0.7300 - val_categorical_accuracy: 0.8574 - 2s/epoch - 7ms/step
Epoch 812/1500
313/313 - 2s - loss: 0.1082 - categorical_accuracy: 0.9625 - val_loss: 0.3588 - val_categorical_accuracy: 0.9200 - 2s/epoch - 7ms/step
Epoch 813/1500
313/313 - 2s - loss: 0.0976 - categorical_accuracy: 0.9653 - val_loss: 0.6090 - val_categorical_accuracy: 0.8629 - 2s/epoch - 7ms/step
Epoch 814/1500
313/313 - 3s - loss: 0.1056 - categorical_accuracy: 0.9626 - val_loss: 0.3665 - val_categorical_accuracy: 0.9128 - 3s/epoch - 8ms/step
Epoch 815/1500
313/313 - 2s - loss: 0.0979 - categorical_accuracy: 0.9660 - val_loss: 0.7565 - val_categorical_accuracy: 0.8558 - 2s/epoch - 8ms/step
Epoch 816/1500
313/313 - 2s - loss: 0.1024 - categorical_accuracy: 0.9647 - val_loss: 0.4555 - val_categorical_accuracy: 0.8970 - 2s/epoch - 7ms/step
Epoch 817/1500
313/313 - 2s - loss: 0.1003 - categorical_accuracy: 0.9650 - val_loss: 1.7766 - val_categorical_accuracy: 0.7381 - 2s/epoch - 7ms/step
Epoch 818/1500
313/313 - 2s - loss: 0.3270 - categorical_accuracy: 0.9097 - val_loss: 0.6799 - val_categorical_accuracy: 0.8376 - 2s/epoch - 8ms/step
Epoch 819/1500
313/313 - 3s - loss: 0.1163 - categorical_accuracy: 0.9591 - val_loss: 0.7298 - val_categorical_accuracy: 0.8552 - 3s/epoch - 8ms/step
Epoch 820/1500
313/313 - 2s - loss: 0.1041 - categorical_accuracy: 0.9633 - val_loss: 0.3407 - val_categorical_accuracy: 0.9196 - 2s/epoch - 8ms/step
Epoch 821/1500
313/313 - 2s - loss: 0.0981 - categorical_accuracy: 0.9656 - val_loss: 0.8163 - val_categorical_accuracy: 0.8501 - 2s/epoch - 7ms/step
Epoch 822/1500
313/313 - 2s - loss: 0.1059 - categorical_accuracy: 0.9630 - val_loss: 0.6961 - val_categorical_accuracy: 0.8604 - 2s/epoch - 8ms/step
Epoch 823/1500
313/313 - 2s - loss: 0.1022 - categorical_accuracy: 0.9642 - val_loss: 0.4154 - val_categorical_accuracy: 0.9007 - 2s/epoch - 8ms/step
Epoch 824/1500
313/313 - 2s - loss: 0.0980 - categorical_accuracy: 0.9659 - val_loss: 0.3381 - val_categorical_accuracy: 0.9230 - 2s/epoch - 8ms/step
Epoch 825/1500
313/313 - 2s - loss: 0.0954 - categorical_accuracy: 0.9665 - val_loss: 1.0904 - val_categorical_accuracy: 0.8066 - 2s/epoch - 7ms/step
Epoch 826/1500
313/313 - 2s - loss: 0.1143 - categorical_accuracy: 0.9610 - val_loss: 0.4207 - val_categorical_accuracy: 0.9002 - 2s/epoch - 8ms/step
Epoch 827/1500
313/313 - 2s - loss: 0.0936 - categorical_accuracy: 0.9669 - val_loss: 0.3433 - val_categorical_accuracy: 0.9227 - 2s/epoch - 8ms/step
Epoch 828/1500
313/313 - 2s - loss: 0.0956 - categorical_accuracy: 0.9664 - val_loss: 0.3639 - val_categorical_accuracy: 0.9141 - 2s/epoch - 8ms/step
Epoch 829/1500
313/313 - 2s - loss: 0.0951 - categorical_accuracy: 0.9672 - val_loss: 0.3504 - val_categorical_accuracy: 0.9213 - 2s/epoch - 8ms/step
Epoch 830/1500
313/313 - 2s - loss: 0.0957 - categorical_accuracy: 0.9670 - val_loss: 0.6917 - val_categorical_accuracy: 0.8516 - 2s/epoch - 8ms/step
Epoch 831/1500
313/313 - 2s - loss: 0.1107 - categorical_accuracy: 0.9623 - val_loss: 0.4670 - val_categorical_accuracy: 0.8924 - 2s/epoch - 8ms/step
Epoch 832/1500
313/313 - 2s - loss: 0.1008 - categorical_accuracy: 0.9648 - val_loss: 0.3242 - val_categorical_accuracy: 0.9242 - 2s/epoch - 8ms/step
Epoch 833/1500
313/313 - 2s - loss: 0.0954 - categorical_accuracy: 0.9668 - val_loss: 0.3318 - val_categorical_accuracy: 0.9233 - 2s/epoch - 8ms/step
Epoch 834/1500
313/313 - 2s - loss: 0.0959 - categorical_accuracy: 0.9664 - val_loss: 0.5342 - val_categorical_accuracy: 0.8915 - 2s/epoch - 8ms/step
Epoch 835/1500
313/313 - 2s - loss: 0.1036 - categorical_accuracy: 0.9637 - val_loss: 0.4733 - val_categorical_accuracy: 0.9001 - 2s/epoch - 8ms/step
Epoch 836/1500
313/313 - 2s - loss: 0.0964 - categorical_accuracy: 0.9667 - val_loss: 0.3358 - val_categorical_accuracy: 0.9242 - 2s/epoch - 8ms/step
Epoch 837/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9681 - val_loss: 0.4344 - val_categorical_accuracy: 0.9003 - 2s/epoch - 8ms/step
Epoch 838/1500
313/313 - 2s - loss: 0.1006 - categorical_accuracy: 0.9649 - val_loss: 0.6960 - val_categorical_accuracy: 0.8490 - 2s/epoch - 8ms/step
Epoch 839/1500
313/313 - 2s - loss: 0.1043 - categorical_accuracy: 0.9634 - val_loss: 0.3374 - val_categorical_accuracy: 0.9261 - 2s/epoch - 8ms/step
Epoch 840/1500
313/313 - 2s - loss: 0.0985 - categorical_accuracy: 0.9656 - val_loss: 0.5536 - val_categorical_accuracy: 0.8724 - 2s/epoch - 8ms/step
Epoch 841/1500
313/313 - 2s - loss: 0.1018 - categorical_accuracy: 0.9643 - val_loss: 0.3370 - val_categorical_accuracy: 0.9255 - 2s/epoch - 8ms/step
Epoch 842/1500
313/313 - 2s - loss: 0.0998 - categorical_accuracy: 0.9646 - val_loss: 0.3987 - val_categorical_accuracy: 0.9165 - 2s/epoch - 8ms/step
Epoch 843/1500
313/313 - 2s - loss: 0.0999 - categorical_accuracy: 0.9652 - val_loss: 0.5435 - val_categorical_accuracy: 0.8932 - 2s/epoch - 8ms/step
Epoch 844/1500
313/313 - 2s - loss: 0.1000 - categorical_accuracy: 0.9652 - val_loss: 0.4654 - val_categorical_accuracy: 0.8961 - 2s/epoch - 8ms/step
Epoch 845/1500
313/313 - 2s - loss: 0.0989 - categorical_accuracy: 0.9655 - val_loss: 0.6983 - val_categorical_accuracy: 0.8545 - 2s/epoch - 7ms/step
Epoch 846/1500
313/313 - 2s - loss: 0.1053 - categorical_accuracy: 0.9630 - val_loss: 0.3932 - val_categorical_accuracy: 0.9150 - 2s/epoch - 8ms/step
Epoch 847/1500
313/313 - 2s - loss: 0.0974 - categorical_accuracy: 0.9661 - val_loss: 0.4388 - val_categorical_accuracy: 0.9063 - 2s/epoch - 8ms/step
Epoch 848/1500
313/313 - 2s - loss: 0.0979 - categorical_accuracy: 0.9658 - val_loss: 1.6707 - val_categorical_accuracy: 0.7547 - 2s/epoch - 8ms/step
Epoch 849/1500
313/313 - 2s - loss: 0.1191 - categorical_accuracy: 0.9602 - val_loss: 0.3543 - val_categorical_accuracy: 0.9201 - 2s/epoch - 8ms/step
Epoch 850/1500
313/313 - 2s - loss: 0.0984 - categorical_accuracy: 0.9654 - val_loss: 0.3409 - val_categorical_accuracy: 0.9247 - 2s/epoch - 8ms/step
Epoch 851/1500
313/313 - 2s - loss: 0.0953 - categorical_accuracy: 0.9666 - val_loss: 0.4096 - val_categorical_accuracy: 0.9128 - 2s/epoch - 7ms/step
Epoch 852/1500
313/313 - 2s - loss: 0.0960 - categorical_accuracy: 0.9668 - val_loss: 0.6002 - val_categorical_accuracy: 0.8787 - 2s/epoch - 8ms/step
Epoch 853/1500
313/313 - 2s - loss: 0.0999 - categorical_accuracy: 0.9655 - val_loss: 0.4371 - val_categorical_accuracy: 0.9062 - 2s/epoch - 8ms/step
Epoch 854/1500
313/313 - 2s - loss: 0.0996 - categorical_accuracy: 0.9652 - val_loss: 0.3343 - val_categorical_accuracy: 0.9250 - 2s/epoch - 8ms/step
Epoch 855/1500
313/313 - 2s - loss: 0.0961 - categorical_accuracy: 0.9663 - val_loss: 0.6789 - val_categorical_accuracy: 0.8384 - 2s/epoch - 8ms/step
Epoch 856/1500
313/313 - 2s - loss: 0.0995 - categorical_accuracy: 0.9653 - val_loss: 0.4030 - val_categorical_accuracy: 0.9134 - 2s/epoch - 8ms/step
Epoch 857/1500
313/313 - 2s - loss: 0.0960 - categorical_accuracy: 0.9667 - val_loss: 0.4298 - val_categorical_accuracy: 0.9043 - 2s/epoch - 7ms/step
Epoch 858/1500
313/313 - 2s - loss: 0.0969 - categorical_accuracy: 0.9660 - val_loss: 0.4663 - val_categorical_accuracy: 0.8961 - 2s/epoch - 8ms/step
Epoch 859/1500
313/313 - 2s - loss: 0.1021 - categorical_accuracy: 0.9649 - val_loss: 0.7935 - val_categorical_accuracy: 0.8545 - 2s/epoch - 8ms/step
Epoch 860/1500
313/313 - 2s - loss: 0.1041 - categorical_accuracy: 0.9641 - val_loss: 0.7127 - val_categorical_accuracy: 0.8579 - 2s/epoch - 8ms/step
Epoch 861/1500
313/313 - 2s - loss: 0.1070 - categorical_accuracy: 0.9628 - val_loss: 0.3748 - val_categorical_accuracy: 0.9137 - 2s/epoch - 8ms/step
Epoch 862/1500
313/313 - 2s - loss: 0.0968 - categorical_accuracy: 0.9661 - val_loss: 0.7416 - val_categorical_accuracy: 0.8660 - 2s/epoch - 8ms/step
Epoch 863/1500
313/313 - 2s - loss: 0.1076 - categorical_accuracy: 0.9620 - val_loss: 0.3386 - val_categorical_accuracy: 0.9217 - 2s/epoch - 8ms/step
Epoch 864/1500
313/313 - 2s - loss: 0.0961 - categorical_accuracy: 0.9663 - val_loss: 0.3285 - val_categorical_accuracy: 0.9281 - 2s/epoch - 8ms/step
Epoch 865/1500
313/313 - 2s - loss: 0.0963 - categorical_accuracy: 0.9663 - val_loss: 0.5281 - val_categorical_accuracy: 0.8780 - 2s/epoch - 8ms/step
Epoch 866/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9643 - val_loss: 0.5079 - val_categorical_accuracy: 0.8831 - 2s/epoch - 8ms/step
Epoch 867/1500
313/313 - 2s - loss: 0.0985 - categorical_accuracy: 0.9655 - val_loss: 0.3316 - val_categorical_accuracy: 0.9261 - 2s/epoch - 8ms/step
Epoch 868/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9670 - val_loss: 0.3839 - val_categorical_accuracy: 0.9126 - 2s/epoch - 8ms/step
Epoch 869/1500
313/313 - 2s - loss: 0.0958 - categorical_accuracy: 0.9667 - val_loss: 1.1754 - val_categorical_accuracy: 0.8005 - 2s/epoch - 8ms/step
Epoch 870/1500
313/313 - 2s - loss: 0.2795 - categorical_accuracy: 0.9248 - val_loss: 0.9832 - val_categorical_accuracy: 0.8356 - 2s/epoch - 8ms/step
Epoch 871/1500
313/313 - 2s - loss: 0.1146 - categorical_accuracy: 0.9605 - val_loss: 0.3916 - val_categorical_accuracy: 0.9065 - 2s/epoch - 8ms/step
Epoch 872/1500
313/313 - 2s - loss: 0.0968 - categorical_accuracy: 0.9659 - val_loss: 0.3944 - val_categorical_accuracy: 0.9066 - 2s/epoch - 8ms/step
Epoch 873/1500
313/313 - 2s - loss: 0.0939 - categorical_accuracy: 0.9674 - val_loss: 0.5817 - val_categorical_accuracy: 0.8732 - 2s/epoch - 8ms/step
Epoch 874/1500
313/313 - 2s - loss: 0.0980 - categorical_accuracy: 0.9658 - val_loss: 0.4217 - val_categorical_accuracy: 0.9033 - 2s/epoch - 8ms/step
Epoch 875/1500
313/313 - 2s - loss: 0.0955 - categorical_accuracy: 0.9666 - val_loss: 0.3581 - val_categorical_accuracy: 0.9189 - 2s/epoch - 7ms/step
Epoch 876/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9679 - val_loss: 1.3330 - val_categorical_accuracy: 0.8114 - 2s/epoch - 8ms/step
Epoch 877/1500
313/313 - 2s - loss: 0.1113 - categorical_accuracy: 0.9621 - val_loss: 0.3433 - val_categorical_accuracy: 0.9238 - 2s/epoch - 7ms/step
Epoch 878/1500
313/313 - 2s - loss: 0.0933 - categorical_accuracy: 0.9675 - val_loss: 0.9160 - val_categorical_accuracy: 0.8430 - 2s/epoch - 8ms/step
Epoch 879/1500
313/313 - 2s - loss: 0.1063 - categorical_accuracy: 0.9634 - val_loss: 1.6625 - val_categorical_accuracy: 0.7420 - 2s/epoch - 8ms/step
Epoch 880/1500
313/313 - 2s - loss: 0.1342 - categorical_accuracy: 0.9568 - val_loss: 0.4540 - val_categorical_accuracy: 0.9017 - 2s/epoch - 8ms/step
Epoch 881/1500
313/313 - 2s - loss: 0.0951 - categorical_accuracy: 0.9665 - val_loss: 0.4652 - val_categorical_accuracy: 0.8955 - 2s/epoch - 8ms/step
Epoch 882/1500
313/313 - 2s - loss: 0.0942 - categorical_accuracy: 0.9674 - val_loss: 0.4931 - val_categorical_accuracy: 0.8917 - 2s/epoch - 8ms/step
Epoch 883/1500
313/313 - 2s - loss: 0.0988 - categorical_accuracy: 0.9655 - val_loss: 2.2983 - val_categorical_accuracy: 0.7382 - 2s/epoch - 7ms/step
Epoch 884/1500
313/313 - 2s - loss: 0.1505 - categorical_accuracy: 0.9543 - val_loss: 0.6331 - val_categorical_accuracy: 0.8721 - 2s/epoch - 8ms/step
Epoch 885/1500
313/313 - 2s - loss: 0.0981 - categorical_accuracy: 0.9659 - val_loss: 0.7556 - val_categorical_accuracy: 0.8443 - 2s/epoch - 8ms/step
Epoch 886/1500
313/313 - 2s - loss: 0.1028 - categorical_accuracy: 0.9640 - val_loss: 0.5849 - val_categorical_accuracy: 0.8661 - 2s/epoch - 8ms/step
Epoch 887/1500
313/313 - 2s - loss: 0.0970 - categorical_accuracy: 0.9665 - val_loss: 0.3210 - val_categorical_accuracy: 0.9266 - 2s/epoch - 7ms/step
Epoch 888/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9681 - val_loss: 0.3725 - val_categorical_accuracy: 0.9189 - 2s/epoch - 8ms/step
Epoch 889/1500
313/313 - 2s - loss: 0.0929 - categorical_accuracy: 0.9675 - val_loss: 0.3604 - val_categorical_accuracy: 0.9241 - 2s/epoch - 8ms/step
Epoch 890/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9683 - val_loss: 0.4240 - val_categorical_accuracy: 0.9090 - 2s/epoch - 8ms/step
Epoch 891/1500
313/313 - 2s - loss: 0.0945 - categorical_accuracy: 0.9669 - val_loss: 0.4605 - val_categorical_accuracy: 0.8986 - 2s/epoch - 8ms/step
Epoch 892/1500
313/313 - 2s - loss: 0.0946 - categorical_accuracy: 0.9667 - val_loss: 0.5154 - val_categorical_accuracy: 0.8972 - 2s/epoch - 8ms/step
Epoch 893/1500
313/313 - 2s - loss: 0.0967 - categorical_accuracy: 0.9658 - val_loss: 8.3889 - val_categorical_accuracy: 0.5191 - 2s/epoch - 8ms/step
Epoch 894/1500
313/313 - 2s - loss: 0.3717 - categorical_accuracy: 0.8971 - val_loss: 1.6196 - val_categorical_accuracy: 0.7460 - 2s/epoch - 8ms/step
Epoch 895/1500
313/313 - 2s - loss: 0.1566 - categorical_accuracy: 0.9482 - val_loss: 1.1724 - val_categorical_accuracy: 0.7848 - 2s/epoch - 7ms/step
Epoch 896/1500
313/313 - 2s - loss: 0.1193 - categorical_accuracy: 0.9586 - val_loss: 0.3401 - val_categorical_accuracy: 0.9188 - 2s/epoch - 8ms/step
Epoch 897/1500
313/313 - 2s - loss: 0.1033 - categorical_accuracy: 0.9637 - val_loss: 0.3379 - val_categorical_accuracy: 0.9198 - 2s/epoch - 8ms/step
Epoch 898/1500
313/313 - 2s - loss: 0.1022 - categorical_accuracy: 0.9638 - val_loss: 1.0271 - val_categorical_accuracy: 0.8108 - 2s/epoch - 8ms/step
Epoch 899/1500
313/313 - 2s - loss: 0.1079 - categorical_accuracy: 0.9627 - val_loss: 0.3257 - val_categorical_accuracy: 0.9264 - 2s/epoch - 7ms/step
Epoch 900/1500
313/313 - 2s - loss: 0.0975 - categorical_accuracy: 0.9656 - val_loss: 0.3707 - val_categorical_accuracy: 0.9180 - 2s/epoch - 8ms/step
Epoch 901/1500
313/313 - 2s - loss: 0.0967 - categorical_accuracy: 0.9665 - val_loss: 0.4571 - val_categorical_accuracy: 0.8975 - 2s/epoch - 8ms/step
Epoch 902/1500
313/313 - 2s - loss: 0.0969 - categorical_accuracy: 0.9658 - val_loss: 0.4099 - val_categorical_accuracy: 0.9071 - 2s/epoch - 8ms/step
Epoch 903/1500
313/313 - 2s - loss: 0.0955 - categorical_accuracy: 0.9666 - val_loss: 0.9046 - val_categorical_accuracy: 0.8132 - 2s/epoch - 8ms/step
Epoch 904/1500
313/313 - 2s - loss: 0.1068 - categorical_accuracy: 0.9633 - val_loss: 0.5892 - val_categorical_accuracy: 0.8711 - 2s/epoch - 8ms/step
Epoch 905/1500
313/313 - 2s - loss: 0.0987 - categorical_accuracy: 0.9651 - val_loss: 0.4016 - val_categorical_accuracy: 0.9029 - 2s/epoch - 8ms/step
Epoch 906/1500
313/313 - 2s - loss: 0.0935 - categorical_accuracy: 0.9676 - val_loss: 1.2034 - val_categorical_accuracy: 0.7786 - 2s/epoch - 8ms/step
Epoch 907/1500
313/313 - 2s - loss: 0.1072 - categorical_accuracy: 0.9632 - val_loss: 0.8613 - val_categorical_accuracy: 0.8446 - 2s/epoch - 8ms/step
Epoch 908/1500
313/313 - 2s - loss: 0.1039 - categorical_accuracy: 0.9638 - val_loss: 0.4238 - val_categorical_accuracy: 0.9020 - 2s/epoch - 8ms/step
Epoch 909/1500
313/313 - 2s - loss: 0.0974 - categorical_accuracy: 0.9660 - val_loss: 0.4901 - val_categorical_accuracy: 0.8982 - 2s/epoch - 8ms/step
Epoch 910/1500
313/313 - 2s - loss: 0.0933 - categorical_accuracy: 0.9677 - val_loss: 0.3982 - val_categorical_accuracy: 0.9110 - 2s/epoch - 8ms/step
Epoch 911/1500
313/313 - 2s - loss: 0.0929 - categorical_accuracy: 0.9677 - val_loss: 0.3568 - val_categorical_accuracy: 0.9192 - 2s/epoch - 8ms/step
Epoch 912/1500
313/313 - 2s - loss: 0.0956 - categorical_accuracy: 0.9667 - val_loss: 0.4770 - val_categorical_accuracy: 0.9018 - 2s/epoch - 8ms/step
Epoch 913/1500
313/313 - 2s - loss: 0.0957 - categorical_accuracy: 0.9670 - val_loss: 0.3200 - val_categorical_accuracy: 0.9279 - 2s/epoch - 8ms/step
Epoch 914/1500
313/313 - 2s - loss: 0.0923 - categorical_accuracy: 0.9678 - val_loss: 0.5917 - val_categorical_accuracy: 0.8729 - 2s/epoch - 8ms/step
Epoch 915/1500
313/313 - 2s - loss: 0.1005 - categorical_accuracy: 0.9648 - val_loss: 1.3164 - val_categorical_accuracy: 0.8158 - 2s/epoch - 8ms/step
Epoch 916/1500
313/313 - 2s - loss: 0.1187 - categorical_accuracy: 0.9613 - val_loss: 0.5159 - val_categorical_accuracy: 0.8895 - 2s/epoch - 8ms/step
Epoch 917/1500
313/313 - 2s - loss: 0.0970 - categorical_accuracy: 0.9656 - val_loss: 0.3292 - val_categorical_accuracy: 0.9252 - 2s/epoch - 8ms/step
Epoch 918/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9682 - val_loss: 0.3466 - val_categorical_accuracy: 0.9252 - 2s/epoch - 8ms/step
Epoch 919/1500
313/313 - 2s - loss: 0.0939 - categorical_accuracy: 0.9673 - val_loss: 0.3979 - val_categorical_accuracy: 0.9077 - 2s/epoch - 8ms/step
Epoch 920/1500
313/313 - 2s - loss: 0.0983 - categorical_accuracy: 0.9658 - val_loss: 0.3723 - val_categorical_accuracy: 0.9216 - 2s/epoch - 7ms/step
Epoch 921/1500
313/313 - 2s - loss: 0.0942 - categorical_accuracy: 0.9673 - val_loss: 0.5891 - val_categorical_accuracy: 0.8849 - 2s/epoch - 8ms/step
Epoch 922/1500
313/313 - 2s - loss: 0.0990 - categorical_accuracy: 0.9652 - val_loss: 0.3794 - val_categorical_accuracy: 0.9173 - 2s/epoch - 8ms/step
Epoch 923/1500
313/313 - 2s - loss: 0.0937 - categorical_accuracy: 0.9672 - val_loss: 0.4449 - val_categorical_accuracy: 0.9008 - 2s/epoch - 8ms/step
Epoch 924/1500
313/313 - 2s - loss: 0.0931 - categorical_accuracy: 0.9674 - val_loss: 0.8285 - val_categorical_accuracy: 0.8512 - 2s/epoch - 8ms/step
Epoch 925/1500
313/313 - 2s - loss: 0.0998 - categorical_accuracy: 0.9654 - val_loss: 0.7421 - val_categorical_accuracy: 0.8548 - 2s/epoch - 8ms/step
Epoch 926/1500
313/313 - 2s - loss: 0.1007 - categorical_accuracy: 0.9655 - val_loss: 1.6468 - val_categorical_accuracy: 0.7782 - 2s/epoch - 8ms/step
Epoch 927/1500
313/313 - 2s - loss: 0.1179 - categorical_accuracy: 0.9611 - val_loss: 0.3670 - val_categorical_accuracy: 0.9177 - 2s/epoch - 7ms/step
Epoch 928/1500
313/313 - 2s - loss: 0.0916 - categorical_accuracy: 0.9684 - val_loss: 1.3039 - val_categorical_accuracy: 0.7532 - 2s/epoch - 8ms/step
Epoch 929/1500
313/313 - 2s - loss: 0.1073 - categorical_accuracy: 0.9641 - val_loss: 0.3372 - val_categorical_accuracy: 0.9252 - 2s/epoch - 8ms/step
Epoch 930/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9677 - val_loss: 0.5759 - val_categorical_accuracy: 0.8812 - 2s/epoch - 8ms/step
Epoch 931/1500
313/313 - 2s - loss: 0.1001 - categorical_accuracy: 0.9655 - val_loss: 0.3353 - val_categorical_accuracy: 0.9271 - 2s/epoch - 7ms/step
Epoch 932/1500
313/313 - 2s - loss: 0.0897 - categorical_accuracy: 0.9689 - val_loss: 0.3860 - val_categorical_accuracy: 0.9211 - 2s/epoch - 8ms/step
Epoch 933/1500
313/313 - 2s - loss: 0.0903 - categorical_accuracy: 0.9684 - val_loss: 0.4356 - val_categorical_accuracy: 0.9068 - 2s/epoch - 7ms/step
Epoch 934/1500
313/313 - 2s - loss: 0.0939 - categorical_accuracy: 0.9668 - val_loss: 0.3604 - val_categorical_accuracy: 0.9179 - 2s/epoch - 8ms/step
Epoch 935/1500
313/313 - 2s - loss: 0.0961 - categorical_accuracy: 0.9663 - val_loss: 0.3787 - val_categorical_accuracy: 0.9190 - 2s/epoch - 8ms/step
Epoch 936/1500
313/313 - 2s - loss: 0.0940 - categorical_accuracy: 0.9670 - val_loss: 0.7325 - val_categorical_accuracy: 0.8558 - 2s/epoch - 8ms/step
Epoch 937/1500
313/313 - 2s - loss: 0.0972 - categorical_accuracy: 0.9660 - val_loss: 0.5577 - val_categorical_accuracy: 0.8833 - 2s/epoch - 8ms/step
Epoch 938/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9673 - val_loss: 0.6538 - val_categorical_accuracy: 0.8746 - 2s/epoch - 8ms/step
Epoch 939/1500
313/313 - 2s - loss: 0.0977 - categorical_accuracy: 0.9659 - val_loss: 1.1274 - val_categorical_accuracy: 0.8024 - 2s/epoch - 7ms/step
Epoch 940/1500
313/313 - 2s - loss: 0.1080 - categorical_accuracy: 0.9635 - val_loss: 0.8882 - val_categorical_accuracy: 0.8342 - 2s/epoch - 8ms/step
Epoch 941/1500
313/313 - 2s - loss: 0.1033 - categorical_accuracy: 0.9648 - val_loss: 0.5149 - val_categorical_accuracy: 0.8794 - 2s/epoch - 8ms/step
Epoch 942/1500
313/313 - 2s - loss: 0.0975 - categorical_accuracy: 0.9663 - val_loss: 0.4036 - val_categorical_accuracy: 0.9081 - 2s/epoch - 7ms/step
Epoch 943/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9672 - val_loss: 0.3297 - val_categorical_accuracy: 0.9277 - 2s/epoch - 7ms/step
Epoch 944/1500
313/313 - 2s - loss: 0.0908 - categorical_accuracy: 0.9678 - val_loss: 0.5492 - val_categorical_accuracy: 0.8769 - 2s/epoch - 8ms/step
Epoch 945/1500
313/313 - 2s - loss: 0.0950 - categorical_accuracy: 0.9668 - val_loss: 0.4526 - val_categorical_accuracy: 0.9036 - 2s/epoch - 8ms/step
Epoch 946/1500
313/313 - 2s - loss: 0.0937 - categorical_accuracy: 0.9673 - val_loss: 1.2973 - val_categorical_accuracy: 0.7847 - 2s/epoch - 7ms/step
Epoch 947/1500
313/313 - 2s - loss: 0.1057 - categorical_accuracy: 0.9645 - val_loss: 0.5120 - val_categorical_accuracy: 0.8838 - 2s/epoch - 7ms/step
Epoch 948/1500
313/313 - 2s - loss: 0.0978 - categorical_accuracy: 0.9661 - val_loss: 0.3787 - val_categorical_accuracy: 0.9150 - 2s/epoch - 8ms/step
Epoch 949/1500
313/313 - 3s - loss: 0.0944 - categorical_accuracy: 0.9668 - val_loss: 0.3715 - val_categorical_accuracy: 0.9222 - 3s/epoch - 8ms/step
Epoch 950/1500
313/313 - 2s - loss: 0.0973 - categorical_accuracy: 0.9665 - val_loss: 0.9317 - val_categorical_accuracy: 0.8326 - 2s/epoch - 8ms/step
Epoch 951/1500
313/313 - 2s - loss: 0.1040 - categorical_accuracy: 0.9641 - val_loss: 0.3894 - val_categorical_accuracy: 0.9126 - 2s/epoch - 7ms/step
Epoch 952/1500
313/313 - 2s - loss: 0.0905 - categorical_accuracy: 0.9682 - val_loss: 0.4742 - val_categorical_accuracy: 0.8949 - 2s/epoch - 7ms/step
Epoch 953/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9669 - val_loss: 0.3485 - val_categorical_accuracy: 0.9260 - 2s/epoch - 8ms/step
Epoch 954/1500
313/313 - 2s - loss: 0.0900 - categorical_accuracy: 0.9684 - val_loss: 0.3858 - val_categorical_accuracy: 0.9142 - 2s/epoch - 8ms/step
Epoch 955/1500
313/313 - 2s - loss: 0.0957 - categorical_accuracy: 0.9660 - val_loss: 0.4836 - val_categorical_accuracy: 0.8909 - 2s/epoch - 7ms/step
Epoch 956/1500
313/313 - 2s - loss: 0.0969 - categorical_accuracy: 0.9662 - val_loss: 1.2020 - val_categorical_accuracy: 0.8214 - 2s/epoch - 7ms/step
Epoch 957/1500
313/313 - 2s - loss: 0.1125 - categorical_accuracy: 0.9628 - val_loss: 0.4522 - val_categorical_accuracy: 0.9036 - 2s/epoch - 8ms/step
Epoch 958/1500
313/313 - 2s - loss: 0.0917 - categorical_accuracy: 0.9680 - val_loss: 1.7616 - val_categorical_accuracy: 0.7342 - 2s/epoch - 8ms/step
Epoch 959/1500
313/313 - 2s - loss: 0.1261 - categorical_accuracy: 0.9600 - val_loss: 0.7704 - val_categorical_accuracy: 0.8612 - 2s/epoch - 7ms/step
Epoch 960/1500
313/313 - 2s - loss: 0.0992 - categorical_accuracy: 0.9657 - val_loss: 0.8634 - val_categorical_accuracy: 0.8177 - 2s/epoch - 7ms/step
Epoch 961/1500
313/313 - 2s - loss: 0.1021 - categorical_accuracy: 0.9651 - val_loss: 0.3933 - val_categorical_accuracy: 0.9108 - 2s/epoch - 7ms/step
Epoch 962/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9677 - val_loss: 4.2596 - val_categorical_accuracy: 0.6312 - 2s/epoch - 7ms/step
Epoch 963/1500
313/313 - 2s - loss: 0.2210 - categorical_accuracy: 0.9361 - val_loss: 1.0099 - val_categorical_accuracy: 0.8178 - 2s/epoch - 7ms/step
Epoch 964/1500
313/313 - 2s - loss: 0.1106 - categorical_accuracy: 0.9622 - val_loss: 0.4003 - val_categorical_accuracy: 0.9109 - 2s/epoch - 7ms/step
Epoch 965/1500
313/313 - 2s - loss: 0.0897 - categorical_accuracy: 0.9687 - val_loss: 0.5272 - val_categorical_accuracy: 0.8784 - 2s/epoch - 7ms/step
Epoch 966/1500
313/313 - 2s - loss: 0.0912 - categorical_accuracy: 0.9684 - val_loss: 1.0321 - val_categorical_accuracy: 0.7985 - 2s/epoch - 8ms/step
Epoch 967/1500
313/313 - 2s - loss: 0.0995 - categorical_accuracy: 0.9662 - val_loss: 1.4952 - val_categorical_accuracy: 0.7422 - 2s/epoch - 7ms/step
Epoch 968/1500
313/313 - 2s - loss: 0.1207 - categorical_accuracy: 0.9614 - val_loss: 0.3655 - val_categorical_accuracy: 0.9195 - 2s/epoch - 7ms/step
Epoch 969/1500
313/313 - 2s - loss: 0.0913 - categorical_accuracy: 0.9680 - val_loss: 0.4854 - val_categorical_accuracy: 0.8905 - 2s/epoch - 7ms/step
Epoch 970/1500
313/313 - 2s - loss: 0.0910 - categorical_accuracy: 0.9685 - val_loss: 0.4068 - val_categorical_accuracy: 0.9084 - 2s/epoch - 8ms/step
Epoch 971/1500
313/313 - 2s - loss: 0.0918 - categorical_accuracy: 0.9676 - val_loss: 0.9868 - val_categorical_accuracy: 0.8159 - 2s/epoch - 7ms/step
Epoch 972/1500
313/313 - 2s - loss: 0.1056 - categorical_accuracy: 0.9640 - val_loss: 0.3463 - val_categorical_accuracy: 0.9218 - 2s/epoch - 7ms/step
Epoch 973/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9685 - val_loss: 0.6502 - val_categorical_accuracy: 0.8599 - 2s/epoch - 7ms/step
Epoch 974/1500
313/313 - 2s - loss: 0.0987 - categorical_accuracy: 0.9658 - val_loss: 0.4088 - val_categorical_accuracy: 0.9086 - 2s/epoch - 8ms/step
Epoch 975/1500
313/313 - 2s - loss: 0.0942 - categorical_accuracy: 0.9668 - val_loss: 0.5241 - val_categorical_accuracy: 0.8858 - 2s/epoch - 8ms/step
Epoch 976/1500
313/313 - 2s - loss: 0.0967 - categorical_accuracy: 0.9663 - val_loss: 0.5191 - val_categorical_accuracy: 0.9036 - 2s/epoch - 7ms/step
Epoch 977/1500
313/313 - 2s - loss: 0.0943 - categorical_accuracy: 0.9671 - val_loss: 0.6853 - val_categorical_accuracy: 0.8781 - 2s/epoch - 7ms/step
Epoch 978/1500
313/313 - 2s - loss: 0.0960 - categorical_accuracy: 0.9671 - val_loss: 0.3897 - val_categorical_accuracy: 0.9196 - 2s/epoch - 8ms/step
Epoch 979/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9680 - val_loss: 0.3423 - val_categorical_accuracy: 0.9275 - 2s/epoch - 7ms/step
Epoch 980/1500
313/313 - 2s - loss: 0.0916 - categorical_accuracy: 0.9675 - val_loss: 0.5544 - val_categorical_accuracy: 0.8858 - 2s/epoch - 7ms/step
Epoch 981/1500
313/313 - 2s - loss: 0.0940 - categorical_accuracy: 0.9673 - val_loss: 0.3311 - val_categorical_accuracy: 0.9284 - 2s/epoch - 7ms/step
Epoch 982/1500
313/313 - 2s - loss: 0.0894 - categorical_accuracy: 0.9687 - val_loss: 0.4556 - val_categorical_accuracy: 0.9016 - 2s/epoch - 7ms/step
Epoch 983/1500
313/313 - 2s - loss: 0.0936 - categorical_accuracy: 0.9673 - val_loss: 0.4963 - val_categorical_accuracy: 0.8963 - 2s/epoch - 7ms/step
Epoch 984/1500
313/313 - 2s - loss: 0.0950 - categorical_accuracy: 0.9667 - val_loss: 0.4607 - val_categorical_accuracy: 0.9020 - 2s/epoch - 7ms/step
Epoch 985/1500
313/313 - 2s - loss: 0.0971 - categorical_accuracy: 0.9660 - val_loss: 0.3538 - val_categorical_accuracy: 0.9267 - 2s/epoch - 7ms/step
Epoch 986/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9687 - val_loss: 0.3570 - val_categorical_accuracy: 0.9187 - 2s/epoch - 7ms/step
Epoch 987/1500
313/313 - 2s - loss: 0.0935 - categorical_accuracy: 0.9672 - val_loss: 0.3308 - val_categorical_accuracy: 0.9309 - 2s/epoch - 7ms/step
Epoch 988/1500
313/313 - 2s - loss: 0.0920 - categorical_accuracy: 0.9678 - val_loss: 0.8869 - val_categorical_accuracy: 0.8402 - 2s/epoch - 7ms/step
Epoch 989/1500
313/313 - 2s - loss: 0.1208 - categorical_accuracy: 0.9611 - val_loss: 1.4257 - val_categorical_accuracy: 0.8034 - 2s/epoch - 7ms/step
Epoch 990/1500
313/313 - 2s - loss: 0.1290 - categorical_accuracy: 0.9590 - val_loss: 0.3910 - val_categorical_accuracy: 0.9184 - 2s/epoch - 8ms/step
Epoch 991/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9681 - val_loss: 0.3838 - val_categorical_accuracy: 0.9156 - 2s/epoch - 7ms/step
Epoch 992/1500
313/313 - 2s - loss: 0.0910 - categorical_accuracy: 0.9677 - val_loss: 0.3856 - val_categorical_accuracy: 0.9175 - 2s/epoch - 7ms/step
Epoch 993/1500
313/313 - 2s - loss: 0.0912 - categorical_accuracy: 0.9681 - val_loss: 1.3295 - val_categorical_accuracy: 0.7880 - 2s/epoch - 7ms/step
Epoch 994/1500
313/313 - 2s - loss: 0.1102 - categorical_accuracy: 0.9630 - val_loss: 0.7602 - val_categorical_accuracy: 0.8493 - 2s/epoch - 7ms/step
Epoch 995/1500
313/313 - 2s - loss: 0.1033 - categorical_accuracy: 0.9644 - val_loss: 0.4301 - val_categorical_accuracy: 0.9010 - 2s/epoch - 7ms/step
Epoch 996/1500
313/313 - 3s - loss: 0.0896 - categorical_accuracy: 0.9684 - val_loss: 0.6627 - val_categorical_accuracy: 0.8568 - 3s/epoch - 9ms/step
Epoch 997/1500
313/313 - 2s - loss: 0.0924 - categorical_accuracy: 0.9678 - val_loss: 0.3379 - val_categorical_accuracy: 0.9296 - 2s/epoch - 8ms/step
Epoch 998/1500
313/313 - 2s - loss: 0.0881 - categorical_accuracy: 0.9693 - val_loss: 0.3958 - val_categorical_accuracy: 0.9120 - 2s/epoch - 8ms/step
Epoch 999/1500
313/313 - 2s - loss: 0.0902 - categorical_accuracy: 0.9687 - val_loss: 0.6400 - val_categorical_accuracy: 0.8773 - 2s/epoch - 8ms/step
Epoch 1000/1500
313/313 - 3s - loss: 0.0975 - categorical_accuracy: 0.9664 - val_loss: 0.4063 - val_categorical_accuracy: 0.9094 - 3s/epoch - 8ms/step
Epoch 1001/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9682 - val_loss: 0.5272 - val_categorical_accuracy: 0.8836 - 2s/epoch - 8ms/step
Epoch 1002/1500
313/313 - 2s - loss: 0.0931 - categorical_accuracy: 0.9673 - val_loss: 0.6121 - val_categorical_accuracy: 0.8777 - 2s/epoch - 8ms/step
Epoch 1003/1500
313/313 - 2s - loss: 0.0983 - categorical_accuracy: 0.9657 - val_loss: 0.5137 - val_categorical_accuracy: 0.8883 - 2s/epoch - 8ms/step
Epoch 1004/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9664 - val_loss: 0.3357 - val_categorical_accuracy: 0.9274 - 2s/epoch - 8ms/step
Epoch 1005/1500
313/313 - 2s - loss: 0.0874 - categorical_accuracy: 0.9699 - val_loss: 0.4819 - val_categorical_accuracy: 0.9055 - 2s/epoch - 8ms/step
Epoch 1006/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9688 - val_loss: 0.4538 - val_categorical_accuracy: 0.9051 - 2s/epoch - 8ms/step
Epoch 1007/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9676 - val_loss: 0.9751 - val_categorical_accuracy: 0.8339 - 2s/epoch - 8ms/step
Epoch 1008/1500
313/313 - 2s - loss: 0.1016 - categorical_accuracy: 0.9647 - val_loss: 0.6303 - val_categorical_accuracy: 0.8678 - 2s/epoch - 8ms/step
Epoch 1009/1500
313/313 - 2s - loss: 0.0973 - categorical_accuracy: 0.9662 - val_loss: 0.5035 - val_categorical_accuracy: 0.8850 - 2s/epoch - 8ms/step
Epoch 1010/1500
313/313 - 2s - loss: 0.0919 - categorical_accuracy: 0.9677 - val_loss: 0.5207 - val_categorical_accuracy: 0.8911 - 2s/epoch - 8ms/step
Epoch 1011/1500
313/313 - 2s - loss: 0.0951 - categorical_accuracy: 0.9672 - val_loss: 0.4723 - val_categorical_accuracy: 0.9059 - 2s/epoch - 8ms/step
Epoch 1012/1500
313/313 - 2s - loss: 0.0995 - categorical_accuracy: 0.9655 - val_loss: 0.4590 - val_categorical_accuracy: 0.9032 - 2s/epoch - 8ms/step
Epoch 1013/1500
313/313 - 2s - loss: 0.0937 - categorical_accuracy: 0.9667 - val_loss: 0.4002 - val_categorical_accuracy: 0.9160 - 2s/epoch - 8ms/step
Epoch 1014/1500
313/313 - 2s - loss: 0.0881 - categorical_accuracy: 0.9694 - val_loss: 0.6374 - val_categorical_accuracy: 0.8672 - 2s/epoch - 8ms/step
Epoch 1015/1500
313/313 - 2s - loss: 0.1039 - categorical_accuracy: 0.9644 - val_loss: 0.3646 - val_categorical_accuracy: 0.9257 - 2s/epoch - 8ms/step
Epoch 1016/1500
313/313 - 2s - loss: 0.0910 - categorical_accuracy: 0.9685 - val_loss: 0.4108 - val_categorical_accuracy: 0.9088 - 2s/epoch - 8ms/step
Epoch 1017/1500
313/313 - 2s - loss: 0.0922 - categorical_accuracy: 0.9675 - val_loss: 0.3607 - val_categorical_accuracy: 0.9251 - 2s/epoch - 8ms/step
Epoch 1018/1500
313/313 - 2s - loss: 0.0876 - categorical_accuracy: 0.9694 - val_loss: 0.7786 - val_categorical_accuracy: 0.8548 - 2s/epoch - 8ms/step
Epoch 1019/1500
313/313 - 2s - loss: 0.1009 - categorical_accuracy: 0.9653 - val_loss: 0.8094 - val_categorical_accuracy: 0.8425 - 2s/epoch - 8ms/step
Epoch 1020/1500
313/313 - 2s - loss: 0.1009 - categorical_accuracy: 0.9654 - val_loss: 0.6822 - val_categorical_accuracy: 0.8625 - 2s/epoch - 8ms/step
Epoch 1021/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9676 - val_loss: 0.5903 - val_categorical_accuracy: 0.8889 - 2s/epoch - 8ms/step
Epoch 1022/1500
313/313 - 2s - loss: 0.0958 - categorical_accuracy: 0.9664 - val_loss: 1.3284 - val_categorical_accuracy: 0.7773 - 2s/epoch - 8ms/step
Epoch 1023/1500
313/313 - 2s - loss: 0.1132 - categorical_accuracy: 0.9617 - val_loss: 0.7924 - val_categorical_accuracy: 0.8592 - 2s/epoch - 8ms/step
Epoch 1024/1500
313/313 - 2s - loss: 0.0979 - categorical_accuracy: 0.9661 - val_loss: 0.4607 - val_categorical_accuracy: 0.9061 - 2s/epoch - 8ms/step
Epoch 1025/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9685 - val_loss: 0.4422 - val_categorical_accuracy: 0.9037 - 2s/epoch - 8ms/step
Epoch 1026/1500
313/313 - 2s - loss: 0.0897 - categorical_accuracy: 0.9689 - val_loss: 0.8198 - val_categorical_accuracy: 0.8542 - 2s/epoch - 8ms/step
Epoch 1027/1500
313/313 - 2s - loss: 0.0946 - categorical_accuracy: 0.9672 - val_loss: 0.3684 - val_categorical_accuracy: 0.9215 - 2s/epoch - 8ms/step
Epoch 1028/1500
313/313 - 2s - loss: 0.0907 - categorical_accuracy: 0.9686 - val_loss: 0.4080 - val_categorical_accuracy: 0.9136 - 2s/epoch - 8ms/step
Epoch 1029/1500
313/313 - 2s - loss: 0.0943 - categorical_accuracy: 0.9669 - val_loss: 0.9544 - val_categorical_accuracy: 0.8242 - 2s/epoch - 8ms/step
Epoch 1030/1500
313/313 - 2s - loss: 0.1025 - categorical_accuracy: 0.9646 - val_loss: 0.4484 - val_categorical_accuracy: 0.9026 - 2s/epoch - 8ms/step
Epoch 1031/1500
313/313 - 2s - loss: 0.0917 - categorical_accuracy: 0.9679 - val_loss: 0.3853 - val_categorical_accuracy: 0.9173 - 2s/epoch - 8ms/step
Epoch 1032/1500
313/313 - 2s - loss: 0.0925 - categorical_accuracy: 0.9679 - val_loss: 0.3671 - val_categorical_accuracy: 0.9221 - 2s/epoch - 8ms/step
Epoch 1033/1500
313/313 - 2s - loss: 0.0924 - categorical_accuracy: 0.9678 - val_loss: 0.3885 - val_categorical_accuracy: 0.9178 - 2s/epoch - 8ms/step
Epoch 1034/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9675 - val_loss: 0.4897 - val_categorical_accuracy: 0.9009 - 2s/epoch - 8ms/step
Epoch 1035/1500
313/313 - 2s - loss: 0.0942 - categorical_accuracy: 0.9673 - val_loss: 0.4587 - val_categorical_accuracy: 0.9050 - 2s/epoch - 8ms/step
Epoch 1036/1500
313/313 - 2s - loss: 0.0893 - categorical_accuracy: 0.9690 - val_loss: 0.3656 - val_categorical_accuracy: 0.9233 - 2s/epoch - 8ms/step
Epoch 1037/1500
313/313 - 2s - loss: 0.0901 - categorical_accuracy: 0.9682 - val_loss: 1.0081 - val_categorical_accuracy: 0.8379 - 2s/epoch - 8ms/step
Epoch 1038/1500
313/313 - 2s - loss: 0.1015 - categorical_accuracy: 0.9653 - val_loss: 0.3911 - val_categorical_accuracy: 0.9172 - 2s/epoch - 8ms/step
Epoch 1039/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9682 - val_loss: 0.6127 - val_categorical_accuracy: 0.8782 - 2s/epoch - 8ms/step
Epoch 1040/1500
313/313 - 2s - loss: 0.0946 - categorical_accuracy: 0.9671 - val_loss: 0.6242 - val_categorical_accuracy: 0.8848 - 2s/epoch - 8ms/step
Epoch 1041/1500
313/313 - 2s - loss: 0.0956 - categorical_accuracy: 0.9664 - val_loss: 0.4690 - val_categorical_accuracy: 0.9028 - 2s/epoch - 8ms/step
Epoch 1042/1500
313/313 - 2s - loss: 0.0934 - categorical_accuracy: 0.9673 - val_loss: 0.3453 - val_categorical_accuracy: 0.9279 - 2s/epoch - 8ms/step
Epoch 1043/1500
313/313 - 2s - loss: 0.0888 - categorical_accuracy: 0.9691 - val_loss: 0.4153 - val_categorical_accuracy: 0.9093 - 2s/epoch - 8ms/step
Epoch 1044/1500
313/313 - 2s - loss: 0.0918 - categorical_accuracy: 0.9682 - val_loss: 0.4179 - val_categorical_accuracy: 0.9143 - 2s/epoch - 8ms/step
Epoch 1045/1500
313/313 - 2s - loss: 0.0928 - categorical_accuracy: 0.9674 - val_loss: 0.5085 - val_categorical_accuracy: 0.8959 - 2s/epoch - 8ms/step
Epoch 1046/1500
313/313 - 2s - loss: 0.0954 - categorical_accuracy: 0.9669 - val_loss: 0.4165 - val_categorical_accuracy: 0.9127 - 2s/epoch - 8ms/step
Epoch 1047/1500
313/313 - 2s - loss: 0.0928 - categorical_accuracy: 0.9676 - val_loss: 0.6426 - val_categorical_accuracy: 0.8702 - 2s/epoch - 8ms/step
Epoch 1048/1500
313/313 - 2s - loss: 0.0973 - categorical_accuracy: 0.9662 - val_loss: 0.9632 - val_categorical_accuracy: 0.8328 - 2s/epoch - 8ms/step
Epoch 1049/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9644 - val_loss: 0.4318 - val_categorical_accuracy: 0.9090 - 2s/epoch - 8ms/step
Epoch 1050/1500
313/313 - 2s - loss: 0.0950 - categorical_accuracy: 0.9667 - val_loss: 0.3446 - val_categorical_accuracy: 0.9270 - 2s/epoch - 8ms/step
Epoch 1051/1500
313/313 - 2s - loss: 0.0866 - categorical_accuracy: 0.9698 - val_loss: 0.6013 - val_categorical_accuracy: 0.8666 - 2s/epoch - 8ms/step
Epoch 1052/1500
313/313 - 2s - loss: 0.0935 - categorical_accuracy: 0.9674 - val_loss: 1.4502 - val_categorical_accuracy: 0.8250 - 2s/epoch - 8ms/step
Epoch 1053/1500
313/313 - 2s - loss: 0.1123 - categorical_accuracy: 0.9630 - val_loss: 0.4200 - val_categorical_accuracy: 0.9049 - 2s/epoch - 8ms/step
Epoch 1054/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9681 - val_loss: 0.9635 - val_categorical_accuracy: 0.8154 - 2s/epoch - 8ms/step
Epoch 1055/1500
313/313 - 2s - loss: 0.1020 - categorical_accuracy: 0.9651 - val_loss: 0.4740 - val_categorical_accuracy: 0.8976 - 2s/epoch - 8ms/step
Epoch 1056/1500
313/313 - 2s - loss: 0.0928 - categorical_accuracy: 0.9676 - val_loss: 0.4010 - val_categorical_accuracy: 0.9159 - 2s/epoch - 8ms/step
Epoch 1057/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9686 - val_loss: 0.3774 - val_categorical_accuracy: 0.9200 - 2s/epoch - 8ms/step
Epoch 1058/1500
313/313 - 2s - loss: 0.0926 - categorical_accuracy: 0.9677 - val_loss: 0.7764 - val_categorical_accuracy: 0.8571 - 2s/epoch - 8ms/step
Epoch 1059/1500
313/313 - 2s - loss: 0.1040 - categorical_accuracy: 0.9647 - val_loss: 0.4180 - val_categorical_accuracy: 0.9061 - 2s/epoch - 8ms/step
Epoch 1060/1500
313/313 - 2s - loss: 0.0887 - categorical_accuracy: 0.9689 - val_loss: 1.5064 - val_categorical_accuracy: 0.8089 - 2s/epoch - 8ms/step
Epoch 1061/1500
313/313 - 2s - loss: 0.1257 - categorical_accuracy: 0.9596 - val_loss: 0.4387 - val_categorical_accuracy: 0.9059 - 2s/epoch - 8ms/step
Epoch 1062/1500
313/313 - 2s - loss: 0.0880 - categorical_accuracy: 0.9689 - val_loss: 0.4170 - val_categorical_accuracy: 0.9086 - 2s/epoch - 8ms/step
Epoch 1063/1500
313/313 - 2s - loss: 0.0880 - categorical_accuracy: 0.9688 - val_loss: 0.9356 - val_categorical_accuracy: 0.8350 - 2s/epoch - 8ms/step
Epoch 1064/1500
313/313 - 2s - loss: 0.0970 - categorical_accuracy: 0.9668 - val_loss: 0.3446 - val_categorical_accuracy: 0.9297 - 2s/epoch - 8ms/step
Epoch 1065/1500
313/313 - 2s - loss: 0.0878 - categorical_accuracy: 0.9696 - val_loss: 0.3704 - val_categorical_accuracy: 0.9179 - 2s/epoch - 8ms/step
Epoch 1066/1500
313/313 - 2s - loss: 0.0897 - categorical_accuracy: 0.9684 - val_loss: 0.4926 - val_categorical_accuracy: 0.8954 - 2s/epoch - 8ms/step
Epoch 1067/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9681 - val_loss: 0.5742 - val_categorical_accuracy: 0.8765 - 2s/epoch - 8ms/step
Epoch 1068/1500
313/313 - 2s - loss: 0.0925 - categorical_accuracy: 0.9678 - val_loss: 0.4498 - val_categorical_accuracy: 0.9001 - 2s/epoch - 8ms/step
Epoch 1069/1500
313/313 - 2s - loss: 0.0906 - categorical_accuracy: 0.9682 - val_loss: 0.3879 - val_categorical_accuracy: 0.9197 - 2s/epoch - 8ms/step
Epoch 1070/1500
313/313 - 2s - loss: 0.0902 - categorical_accuracy: 0.9685 - val_loss: 0.6431 - val_categorical_accuracy: 0.8721 - 2s/epoch - 8ms/step
Epoch 1071/1500
313/313 - 2s - loss: 0.0951 - categorical_accuracy: 0.9666 - val_loss: 0.6423 - val_categorical_accuracy: 0.8801 - 2s/epoch - 7ms/step
Epoch 1072/1500
313/313 - 2s - loss: 0.0986 - categorical_accuracy: 0.9661 - val_loss: 0.3686 - val_categorical_accuracy: 0.9251 - 2s/epoch - 8ms/step
Epoch 1073/1500
313/313 - 2s - loss: 0.0867 - categorical_accuracy: 0.9697 - val_loss: 0.7828 - val_categorical_accuracy: 0.8460 - 2s/epoch - 8ms/step
Epoch 1074/1500
313/313 - 3s - loss: 0.0961 - categorical_accuracy: 0.9671 - val_loss: 0.5407 - val_categorical_accuracy: 0.8847 - 3s/epoch - 8ms/step
Epoch 1075/1500
313/313 - 2s - loss: 0.0945 - categorical_accuracy: 0.9670 - val_loss: 0.4585 - val_categorical_accuracy: 0.9021 - 2s/epoch - 8ms/step
Epoch 1076/1500
313/313 - 2s - loss: 0.0934 - categorical_accuracy: 0.9675 - val_loss: 0.7184 - val_categorical_accuracy: 0.8578 - 2s/epoch - 8ms/step
Epoch 1077/1500
313/313 - 2s - loss: 0.0979 - categorical_accuracy: 0.9660 - val_loss: 0.5508 - val_categorical_accuracy: 0.8765 - 2s/epoch - 8ms/step
Epoch 1078/1500
313/313 - 2s - loss: 0.0980 - categorical_accuracy: 0.9659 - val_loss: 1.9159 - val_categorical_accuracy: 0.7512 - 2s/epoch - 8ms/step
Epoch 1079/1500
313/313 - 2s - loss: 0.1150 - categorical_accuracy: 0.9622 - val_loss: 0.3384 - val_categorical_accuracy: 0.9283 - 2s/epoch - 8ms/step
Epoch 1080/1500
313/313 - 2s - loss: 0.0892 - categorical_accuracy: 0.9690 - val_loss: 0.4228 - val_categorical_accuracy: 0.9102 - 2s/epoch - 8ms/step
Epoch 1081/1500
313/313 - 2s - loss: 0.0920 - categorical_accuracy: 0.9680 - val_loss: 0.7495 - val_categorical_accuracy: 0.8601 - 2s/epoch - 8ms/step
Epoch 1082/1500
313/313 - 2s - loss: 0.0959 - categorical_accuracy: 0.9664 - val_loss: 0.3503 - val_categorical_accuracy: 0.9278 - 2s/epoch - 8ms/step
Epoch 1083/1500
313/313 - 2s - loss: 0.0878 - categorical_accuracy: 0.9694 - val_loss: 0.4154 - val_categorical_accuracy: 0.9099 - 2s/epoch - 8ms/step
Epoch 1084/1500
313/313 - 2s - loss: 0.0888 - categorical_accuracy: 0.9690 - val_loss: 0.6802 - val_categorical_accuracy: 0.8607 - 2s/epoch - 8ms/step
Epoch 1085/1500
313/313 - 2s - loss: 0.0943 - categorical_accuracy: 0.9672 - val_loss: 1.1149 - val_categorical_accuracy: 0.7849 - 2s/epoch - 8ms/step
Epoch 1086/1500
313/313 - 2s - loss: 0.1023 - categorical_accuracy: 0.9648 - val_loss: 3.2895 - val_categorical_accuracy: 0.6672 - 2s/epoch - 8ms/step
Epoch 1087/1500
313/313 - 2s - loss: 0.2061 - categorical_accuracy: 0.9415 - val_loss: 0.6275 - val_categorical_accuracy: 0.8659 - 2s/epoch - 8ms/step
Epoch 1088/1500
313/313 - 2s - loss: 0.1031 - categorical_accuracy: 0.9641 - val_loss: 0.3431 - val_categorical_accuracy: 0.9187 - 2s/epoch - 8ms/step
Epoch 1089/1500
313/313 - 2s - loss: 0.0882 - categorical_accuracy: 0.9691 - val_loss: 0.3956 - val_categorical_accuracy: 0.9143 - 2s/epoch - 8ms/step
Epoch 1090/1500
313/313 - 2s - loss: 0.0863 - categorical_accuracy: 0.9697 - val_loss: 0.4141 - val_categorical_accuracy: 0.9081 - 2s/epoch - 8ms/step
Epoch 1091/1500
313/313 - 2s - loss: 0.0884 - categorical_accuracy: 0.9693 - val_loss: 0.3706 - val_categorical_accuracy: 0.9260 - 2s/epoch - 8ms/step
Epoch 1092/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9696 - val_loss: 0.4130 - val_categorical_accuracy: 0.9154 - 2s/epoch - 8ms/step
Epoch 1093/1500
313/313 - 2s - loss: 0.0884 - categorical_accuracy: 0.9693 - val_loss: 0.4138 - val_categorical_accuracy: 0.9109 - 2s/epoch - 8ms/step
Epoch 1094/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9695 - val_loss: 0.3644 - val_categorical_accuracy: 0.9252 - 2s/epoch - 8ms/step
Epoch 1095/1500
313/313 - 2s - loss: 0.0872 - categorical_accuracy: 0.9696 - val_loss: 0.4041 - val_categorical_accuracy: 0.9123 - 2s/epoch - 8ms/step
Epoch 1096/1500
313/313 - 2s - loss: 0.0882 - categorical_accuracy: 0.9688 - val_loss: 0.6802 - val_categorical_accuracy: 0.8777 - 2s/epoch - 8ms/step
Epoch 1097/1500
313/313 - 2s - loss: 0.0940 - categorical_accuracy: 0.9673 - val_loss: 0.3820 - val_categorical_accuracy: 0.9189 - 2s/epoch - 8ms/step
Epoch 1098/1500
313/313 - 2s - loss: 0.0885 - categorical_accuracy: 0.9692 - val_loss: 0.4205 - val_categorical_accuracy: 0.9088 - 2s/epoch - 8ms/step
Epoch 1099/1500
313/313 - 2s - loss: 0.0905 - categorical_accuracy: 0.9688 - val_loss: 0.6911 - val_categorical_accuracy: 0.8708 - 2s/epoch - 8ms/step
Epoch 1100/1500
313/313 - 2s - loss: 0.1000 - categorical_accuracy: 0.9651 - val_loss: 0.6942 - val_categorical_accuracy: 0.8626 - 2s/epoch - 8ms/step
Epoch 1101/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9673 - val_loss: 0.4722 - val_categorical_accuracy: 0.8999 - 2s/epoch - 8ms/step
Epoch 1102/1500
313/313 - 2s - loss: 0.0916 - categorical_accuracy: 0.9676 - val_loss: 0.9842 - val_categorical_accuracy: 0.8275 - 2s/epoch - 8ms/step
Epoch 1103/1500
313/313 - 2s - loss: 0.0979 - categorical_accuracy: 0.9670 - val_loss: 0.3752 - val_categorical_accuracy: 0.9233 - 2s/epoch - 8ms/step
Epoch 1104/1500
313/313 - 2s - loss: 0.0913 - categorical_accuracy: 0.9679 - val_loss: 1.8322 - val_categorical_accuracy: 0.7514 - 2s/epoch - 8ms/step
Epoch 1105/1500
313/313 - 2s - loss: 0.1125 - categorical_accuracy: 0.9626 - val_loss: 0.3583 - val_categorical_accuracy: 0.9272 - 2s/epoch - 8ms/step
Epoch 1106/1500
313/313 - 2s - loss: 0.0904 - categorical_accuracy: 0.9687 - val_loss: 0.6422 - val_categorical_accuracy: 0.8661 - 2s/epoch - 8ms/step
Epoch 1107/1500
313/313 - 2s - loss: 0.0916 - categorical_accuracy: 0.9684 - val_loss: 0.4067 - val_categorical_accuracy: 0.9160 - 2s/epoch - 8ms/step
Epoch 1108/1500
313/313 - 2s - loss: 0.0908 - categorical_accuracy: 0.9686 - val_loss: 0.3568 - val_categorical_accuracy: 0.9244 - 2s/epoch - 8ms/step
Epoch 1109/1500
313/313 - 2s - loss: 0.0875 - categorical_accuracy: 0.9698 - val_loss: 0.4229 - val_categorical_accuracy: 0.9026 - 2s/epoch - 8ms/step
Epoch 1110/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9693 - val_loss: 0.5918 - val_categorical_accuracy: 0.8759 - 2s/epoch - 8ms/step
Epoch 1111/1500
313/313 - 2s - loss: 0.0928 - categorical_accuracy: 0.9678 - val_loss: 0.4798 - val_categorical_accuracy: 0.8988 - 2s/epoch - 8ms/step
Epoch 1112/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9683 - val_loss: 0.5138 - val_categorical_accuracy: 0.8912 - 2s/epoch - 8ms/step
Epoch 1113/1500
313/313 - 2s - loss: 0.0918 - categorical_accuracy: 0.9680 - val_loss: 0.3528 - val_categorical_accuracy: 0.9277 - 2s/epoch - 8ms/step
Epoch 1114/1500
313/313 - 2s - loss: 0.0881 - categorical_accuracy: 0.9693 - val_loss: 0.9413 - val_categorical_accuracy: 0.8381 - 2s/epoch - 8ms/step
Epoch 1115/1500
313/313 - 2s - loss: 0.0972 - categorical_accuracy: 0.9668 - val_loss: 0.4680 - val_categorical_accuracy: 0.9103 - 2s/epoch - 8ms/step
Epoch 1116/1500
313/313 - 2s - loss: 0.0928 - categorical_accuracy: 0.9680 - val_loss: 0.4211 - val_categorical_accuracy: 0.9163 - 2s/epoch - 8ms/step
Epoch 1117/1500
313/313 - 2s - loss: 0.0911 - categorical_accuracy: 0.9679 - val_loss: 0.3988 - val_categorical_accuracy: 0.9206 - 2s/epoch - 8ms/step
Epoch 1118/1500
313/313 - 2s - loss: 0.0852 - categorical_accuracy: 0.9704 - val_loss: 2.3586 - val_categorical_accuracy: 0.6799 - 2s/epoch - 8ms/step
Epoch 1119/1500
313/313 - 2s - loss: 0.1477 - categorical_accuracy: 0.9554 - val_loss: 1.5006 - val_categorical_accuracy: 0.7794 - 2s/epoch - 8ms/step
Epoch 1120/1500
313/313 - 2s - loss: 0.1084 - categorical_accuracy: 0.9639 - val_loss: 0.5142 - val_categorical_accuracy: 0.8888 - 2s/epoch - 8ms/step
Epoch 1121/1500
313/313 - 2s - loss: 0.0866 - categorical_accuracy: 0.9692 - val_loss: 0.4473 - val_categorical_accuracy: 0.9132 - 2s/epoch - 8ms/step
Epoch 1122/1500
313/313 - 2s - loss: 0.0872 - categorical_accuracy: 0.9699 - val_loss: 0.7624 - val_categorical_accuracy: 0.8753 - 2s/epoch - 8ms/step
Epoch 1123/1500
313/313 - 2s - loss: 0.0916 - categorical_accuracy: 0.9683 - val_loss: 0.7064 - val_categorical_accuracy: 0.8749 - 2s/epoch - 8ms/step
Epoch 1124/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9680 - val_loss: 0.3839 - val_categorical_accuracy: 0.9201 - 2s/epoch - 8ms/step
Epoch 1125/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9705 - val_loss: 0.3983 - val_categorical_accuracy: 0.9175 - 2s/epoch - 8ms/step
Epoch 1126/1500
313/313 - 2s - loss: 0.0879 - categorical_accuracy: 0.9694 - val_loss: 0.3701 - val_categorical_accuracy: 0.9221 - 2s/epoch - 8ms/step
Epoch 1127/1500
313/313 - 2s - loss: 0.0890 - categorical_accuracy: 0.9691 - val_loss: 0.3719 - val_categorical_accuracy: 0.9209 - 2s/epoch - 8ms/step
Epoch 1128/1500
313/313 - 2s - loss: 0.0870 - categorical_accuracy: 0.9696 - val_loss: 2.1463 - val_categorical_accuracy: 0.7215 - 2s/epoch - 8ms/step
Epoch 1129/1500
313/313 - 2s - loss: 0.1655 - categorical_accuracy: 0.9522 - val_loss: 0.5175 - val_categorical_accuracy: 0.8973 - 2s/epoch - 8ms/step
Epoch 1130/1500
313/313 - 2s - loss: 0.0906 - categorical_accuracy: 0.9685 - val_loss: 0.3533 - val_categorical_accuracy: 0.9273 - 2s/epoch - 8ms/step
Epoch 1131/1500
313/313 - 2s - loss: 0.0863 - categorical_accuracy: 0.9702 - val_loss: 0.4960 - val_categorical_accuracy: 0.8922 - 2s/epoch - 8ms/step
Epoch 1132/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9693 - val_loss: 0.3403 - val_categorical_accuracy: 0.9294 - 2s/epoch - 8ms/step
Epoch 1133/1500
313/313 - 2s - loss: 0.0869 - categorical_accuracy: 0.9700 - val_loss: 0.8038 - val_categorical_accuracy: 0.8533 - 2s/epoch - 8ms/step
Epoch 1134/1500
313/313 - 2s - loss: 0.0914 - categorical_accuracy: 0.9686 - val_loss: 1.0325 - val_categorical_accuracy: 0.8386 - 2s/epoch - 8ms/step
Epoch 1135/1500
313/313 - 2s - loss: 0.0961 - categorical_accuracy: 0.9675 - val_loss: 0.5266 - val_categorical_accuracy: 0.8916 - 2s/epoch - 8ms/step
Epoch 1136/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9685 - val_loss: 0.4836 - val_categorical_accuracy: 0.9013 - 2s/epoch - 8ms/step
Epoch 1137/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9686 - val_loss: 0.4826 - val_categorical_accuracy: 0.8993 - 2s/epoch - 8ms/step
Epoch 1138/1500
313/313 - 2s - loss: 0.0889 - categorical_accuracy: 0.9692 - val_loss: 3.4982 - val_categorical_accuracy: 0.6352 - 2s/epoch - 8ms/step
Epoch 1139/1500
313/313 - 2s - loss: 0.3531 - categorical_accuracy: 0.9038 - val_loss: 0.6495 - val_categorical_accuracy: 0.8575 - 2s/epoch - 7ms/step
Epoch 1140/1500
313/313 - 2s - loss: 0.1201 - categorical_accuracy: 0.9577 - val_loss: 0.4627 - val_categorical_accuracy: 0.8937 - 2s/epoch - 8ms/step
Epoch 1141/1500
313/313 - 2s - loss: 0.1008 - categorical_accuracy: 0.9645 - val_loss: 1.5907 - val_categorical_accuracy: 0.7469 - 2s/epoch - 8ms/step
Epoch 1142/1500
313/313 - 2s - loss: 0.1107 - categorical_accuracy: 0.9627 - val_loss: 0.3891 - val_categorical_accuracy: 0.9096 - 2s/epoch - 8ms/step
Epoch 1143/1500
313/313 - 2s - loss: 0.0851 - categorical_accuracy: 0.9706 - val_loss: 0.6269 - val_categorical_accuracy: 0.8709 - 2s/epoch - 8ms/step
Epoch 1144/1500
313/313 - 2s - loss: 0.0884 - categorical_accuracy: 0.9693 - val_loss: 0.3409 - val_categorical_accuracy: 0.9278 - 2s/epoch - 8ms/step
Epoch 1145/1500
313/313 - 2s - loss: 0.0852 - categorical_accuracy: 0.9705 - val_loss: 0.3555 - val_categorical_accuracy: 0.9254 - 2s/epoch - 8ms/step
Epoch 1146/1500
313/313 - 2s - loss: 0.0844 - categorical_accuracy: 0.9706 - val_loss: 0.3937 - val_categorical_accuracy: 0.9206 - 2s/epoch - 8ms/step
Epoch 1147/1500
313/313 - 2s - loss: 0.0853 - categorical_accuracy: 0.9702 - val_loss: 1.4971 - val_categorical_accuracy: 0.7758 - 2s/epoch - 7ms/step
Epoch 1148/1500
313/313 - 2s - loss: 0.1120 - categorical_accuracy: 0.9632 - val_loss: 0.5741 - val_categorical_accuracy: 0.8887 - 2s/epoch - 8ms/step
Epoch 1149/1500
313/313 - 2s - loss: 0.0875 - categorical_accuracy: 0.9693 - val_loss: 0.6469 - val_categorical_accuracy: 0.8727 - 2s/epoch - 8ms/step
Epoch 1150/1500
313/313 - 2s - loss: 0.0916 - categorical_accuracy: 0.9685 - val_loss: 0.5440 - val_categorical_accuracy: 0.8851 - 2s/epoch - 8ms/step
Epoch 1151/1500
313/313 - 2s - loss: 0.0898 - categorical_accuracy: 0.9689 - val_loss: 0.3767 - val_categorical_accuracy: 0.9201 - 2s/epoch - 8ms/step
Epoch 1152/1500
313/313 - 2s - loss: 0.0839 - categorical_accuracy: 0.9706 - val_loss: 0.7620 - val_categorical_accuracy: 0.8578 - 2s/epoch - 8ms/step
Epoch 1153/1500
313/313 - 2s - loss: 0.0953 - categorical_accuracy: 0.9673 - val_loss: 0.4497 - val_categorical_accuracy: 0.9064 - 2s/epoch - 8ms/step
Epoch 1154/1500
313/313 - 2s - loss: 0.0888 - categorical_accuracy: 0.9690 - val_loss: 0.4482 - val_categorical_accuracy: 0.9027 - 2s/epoch - 8ms/step
Epoch 1155/1500
313/313 - 2s - loss: 0.0859 - categorical_accuracy: 0.9702 - val_loss: 0.3634 - val_categorical_accuracy: 0.9254 - 2s/epoch - 8ms/step
Epoch 1156/1500
313/313 - 2s - loss: 0.0857 - categorical_accuracy: 0.9700 - val_loss: 0.5453 - val_categorical_accuracy: 0.8864 - 2s/epoch - 8ms/step
Epoch 1157/1500
313/313 - 2s - loss: 0.0888 - categorical_accuracy: 0.9689 - val_loss: 0.7496 - val_categorical_accuracy: 0.8712 - 2s/epoch - 8ms/step
Epoch 1158/1500
313/313 - 2s - loss: 0.0900 - categorical_accuracy: 0.9687 - val_loss: 0.3533 - val_categorical_accuracy: 0.9303 - 2s/epoch - 8ms/step
Epoch 1159/1500
313/313 - 2s - loss: 0.0858 - categorical_accuracy: 0.9701 - val_loss: 0.5306 - val_categorical_accuracy: 0.8915 - 2s/epoch - 8ms/step
Epoch 1160/1500
313/313 - 2s - loss: 0.0909 - categorical_accuracy: 0.9682 - val_loss: 0.3390 - val_categorical_accuracy: 0.9295 - 2s/epoch - 8ms/step
Epoch 1161/1500
313/313 - 2s - loss: 0.0847 - categorical_accuracy: 0.9705 - val_loss: 0.6103 - val_categorical_accuracy: 0.8815 - 2s/epoch - 8ms/step
Epoch 1162/1500
313/313 - 2s - loss: 0.0937 - categorical_accuracy: 0.9670 - val_loss: 0.5363 - val_categorical_accuracy: 0.8914 - 2s/epoch - 8ms/step
Epoch 1163/1500
313/313 - 2s - loss: 0.0937 - categorical_accuracy: 0.9675 - val_loss: 0.4638 - val_categorical_accuracy: 0.9090 - 2s/epoch - 8ms/step
Epoch 1164/1500
313/313 - 2s - loss: 0.0908 - categorical_accuracy: 0.9682 - val_loss: 0.6140 - val_categorical_accuracy: 0.8793 - 2s/epoch - 8ms/step
Epoch 1165/1500
313/313 - 2s - loss: 0.0918 - categorical_accuracy: 0.9682 - val_loss: 0.5399 - val_categorical_accuracy: 0.8942 - 2s/epoch - 7ms/step
Epoch 1166/1500
313/313 - 2s - loss: 0.0887 - categorical_accuracy: 0.9688 - val_loss: 0.4226 - val_categorical_accuracy: 0.9092 - 2s/epoch - 8ms/step
Epoch 1167/1500
313/313 - 2s - loss: 0.0871 - categorical_accuracy: 0.9695 - val_loss: 0.3625 - val_categorical_accuracy: 0.9289 - 2s/epoch - 8ms/step
Epoch 1168/1500
313/313 - 2s - loss: 0.0865 - categorical_accuracy: 0.9698 - val_loss: 0.3964 - val_categorical_accuracy: 0.9147 - 2s/epoch - 8ms/step
Epoch 1169/1500
313/313 - 2s - loss: 0.0871 - categorical_accuracy: 0.9697 - val_loss: 0.4292 - val_categorical_accuracy: 0.9121 - 2s/epoch - 8ms/step
Epoch 1170/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9688 - val_loss: 0.4375 - val_categorical_accuracy: 0.9140 - 2s/epoch - 8ms/step
Epoch 1171/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9675 - val_loss: 0.4367 - val_categorical_accuracy: 0.9116 - 2s/epoch - 8ms/step
Epoch 1172/1500
313/313 - 2s - loss: 0.0902 - categorical_accuracy: 0.9688 - val_loss: 0.4359 - val_categorical_accuracy: 0.9117 - 2s/epoch - 8ms/step
Epoch 1173/1500
313/313 - 2s - loss: 0.0885 - categorical_accuracy: 0.9691 - val_loss: 0.7618 - val_categorical_accuracy: 0.8502 - 2s/epoch - 8ms/step
Epoch 1174/1500
313/313 - 2s - loss: 0.0979 - categorical_accuracy: 0.9659 - val_loss: 1.4920 - val_categorical_accuracy: 0.7705 - 2s/epoch - 8ms/step
Epoch 1175/1500
313/313 - 2s - loss: 0.1438 - categorical_accuracy: 0.9556 - val_loss: 0.4560 - val_categorical_accuracy: 0.9052 - 2s/epoch - 7ms/step
Epoch 1176/1500
313/313 - 2s - loss: 0.0901 - categorical_accuracy: 0.9681 - val_loss: 0.5124 - val_categorical_accuracy: 0.8987 - 2s/epoch - 8ms/step
Epoch 1177/1500
313/313 - 2s - loss: 0.0924 - categorical_accuracy: 0.9680 - val_loss: 0.4292 - val_categorical_accuracy: 0.9065 - 2s/epoch - 8ms/step
Epoch 1178/1500
313/313 - 2s - loss: 0.0892 - categorical_accuracy: 0.9687 - val_loss: 0.7257 - val_categorical_accuracy: 0.8742 - 2s/epoch - 8ms/step
Epoch 1179/1500
313/313 - 2s - loss: 0.0956 - categorical_accuracy: 0.9668 - val_loss: 0.4187 - val_categorical_accuracy: 0.9117 - 2s/epoch - 8ms/step
Epoch 1180/1500
313/313 - 2s - loss: 0.0864 - categorical_accuracy: 0.9699 - val_loss: 1.4449 - val_categorical_accuracy: 0.7690 - 2s/epoch - 8ms/step
Epoch 1181/1500
313/313 - 2s - loss: 0.1201 - categorical_accuracy: 0.9610 - val_loss: 0.3612 - val_categorical_accuracy: 0.9258 - 2s/epoch - 7ms/step
Epoch 1182/1500
313/313 - 2s - loss: 0.0882 - categorical_accuracy: 0.9693 - val_loss: 1.4920 - val_categorical_accuracy: 0.7732 - 2s/epoch - 8ms/step
Epoch 1183/1500
313/313 - 2s - loss: 0.1265 - categorical_accuracy: 0.9597 - val_loss: 0.4408 - val_categorical_accuracy: 0.9145 - 2s/epoch - 8ms/step
Epoch 1184/1500
313/313 - 2s - loss: 0.0851 - categorical_accuracy: 0.9701 - val_loss: 0.4329 - val_categorical_accuracy: 0.9155 - 2s/epoch - 8ms/step
Epoch 1185/1500
313/313 - 2s - loss: 0.0847 - categorical_accuracy: 0.9706 - val_loss: 0.4608 - val_categorical_accuracy: 0.9076 - 2s/epoch - 8ms/step
Epoch 1186/1500
313/313 - 2s - loss: 0.0845 - categorical_accuracy: 0.9702 - val_loss: 0.5467 - val_categorical_accuracy: 0.8984 - 2s/epoch - 8ms/step
Epoch 1187/1500
313/313 - 2s - loss: 0.0874 - categorical_accuracy: 0.9693 - val_loss: 0.3479 - val_categorical_accuracy: 0.9300 - 2s/epoch - 7ms/step
Epoch 1188/1500
313/313 - 2s - loss: 0.0870 - categorical_accuracy: 0.9693 - val_loss: 0.4127 - val_categorical_accuracy: 0.9158 - 2s/epoch - 8ms/step
Epoch 1189/1500
313/313 - 3s - loss: 0.0883 - categorical_accuracy: 0.9690 - val_loss: 0.3755 - val_categorical_accuracy: 0.9264 - 3s/epoch - 8ms/step
Epoch 1190/1500
313/313 - 2s - loss: 0.0855 - categorical_accuracy: 0.9702 - val_loss: 0.6295 - val_categorical_accuracy: 0.8819 - 2s/epoch - 8ms/step
Epoch 1191/1500
313/313 - 2s - loss: 0.0898 - categorical_accuracy: 0.9682 - val_loss: 1.1668 - val_categorical_accuracy: 0.8259 - 2s/epoch - 8ms/step
Epoch 1192/1500
313/313 - 2s - loss: 0.1030 - categorical_accuracy: 0.9659 - val_loss: 0.3670 - val_categorical_accuracy: 0.9244 - 2s/epoch - 8ms/step
Epoch 1193/1500
313/313 - 2s - loss: 0.0886 - categorical_accuracy: 0.9690 - val_loss: 0.4873 - val_categorical_accuracy: 0.9075 - 2s/epoch - 8ms/step
Epoch 1194/1500
313/313 - 3s - loss: 0.0865 - categorical_accuracy: 0.9701 - val_loss: 0.3626 - val_categorical_accuracy: 0.9280 - 3s/epoch - 8ms/step
Epoch 1195/1500
313/313 - 2s - loss: 0.0845 - categorical_accuracy: 0.9706 - val_loss: 1.9795 - val_categorical_accuracy: 0.7199 - 2s/epoch - 7ms/step
Epoch 1196/1500
313/313 - 2s - loss: 0.4622 - categorical_accuracy: 0.8715 - val_loss: 0.4274 - val_categorical_accuracy: 0.8776 - 2s/epoch - 7ms/step
Epoch 1197/1500
313/313 - 2s - loss: 0.1705 - categorical_accuracy: 0.9409 - val_loss: 0.4085 - val_categorical_accuracy: 0.8870 - 2s/epoch - 7ms/step
Epoch 1198/1500
313/313 - 2s - loss: 0.1399 - categorical_accuracy: 0.9507 - val_loss: 0.6456 - val_categorical_accuracy: 0.8441 - 2s/epoch - 8ms/step
Epoch 1199/1500
313/313 - 2s - loss: 0.1218 - categorical_accuracy: 0.9569 - val_loss: 1.3704 - val_categorical_accuracy: 0.7761 - 2s/epoch - 8ms/step
Epoch 1200/1500
313/313 - 3s - loss: 0.1447 - categorical_accuracy: 0.9526 - val_loss: 0.5279 - val_categorical_accuracy: 0.8871 - 3s/epoch - 8ms/step
Epoch 1201/1500
313/313 - 2s - loss: 0.1077 - categorical_accuracy: 0.9621 - val_loss: 0.5553 - val_categorical_accuracy: 0.8913 - 2s/epoch - 8ms/step
Epoch 1202/1500
313/313 - 3s - loss: 0.1072 - categorical_accuracy: 0.9622 - val_loss: 0.4584 - val_categorical_accuracy: 0.8988 - 3s/epoch - 8ms/step
Epoch 1203/1500
313/313 - 2s - loss: 0.1054 - categorical_accuracy: 0.9627 - val_loss: 0.3604 - val_categorical_accuracy: 0.9185 - 2s/epoch - 8ms/step
Epoch 1204/1500
313/313 - 2s - loss: 0.0992 - categorical_accuracy: 0.9652 - val_loss: 2.3105 - val_categorical_accuracy: 0.7294 - 2s/epoch - 8ms/step
Epoch 1205/1500
313/313 - 2s - loss: 0.2100 - categorical_accuracy: 0.9378 - val_loss: 0.7990 - val_categorical_accuracy: 0.8433 - 2s/epoch - 8ms/step
Epoch 1206/1500
313/313 - 2s - loss: 0.1121 - categorical_accuracy: 0.9607 - val_loss: 0.4140 - val_categorical_accuracy: 0.8993 - 2s/epoch - 8ms/step
Epoch 1207/1500
313/313 - 2s - loss: 0.1000 - categorical_accuracy: 0.9649 - val_loss: 0.3449 - val_categorical_accuracy: 0.9225 - 2s/epoch - 8ms/step
Epoch 1208/1500
313/313 - 2s - loss: 0.0945 - categorical_accuracy: 0.9670 - val_loss: 0.3554 - val_categorical_accuracy: 0.9227 - 2s/epoch - 8ms/step
Epoch 1209/1500
313/313 - 2s - loss: 0.0952 - categorical_accuracy: 0.9664 - val_loss: 0.3561 - val_categorical_accuracy: 0.9254 - 2s/epoch - 8ms/step
Epoch 1210/1500
313/313 - 2s - loss: 0.0952 - categorical_accuracy: 0.9665 - val_loss: 0.9842 - val_categorical_accuracy: 0.8173 - 2s/epoch - 8ms/step
Epoch 1211/1500
313/313 - 2s - loss: 0.1033 - categorical_accuracy: 0.9644 - val_loss: 0.4634 - val_categorical_accuracy: 0.9083 - 2s/epoch - 8ms/step
Epoch 1212/1500
313/313 - 2s - loss: 0.0939 - categorical_accuracy: 0.9669 - val_loss: 1.0268 - val_categorical_accuracy: 0.8209 - 2s/epoch - 8ms/step
Epoch 1213/1500
313/313 - 2s - loss: 0.1055 - categorical_accuracy: 0.9640 - val_loss: 0.5691 - val_categorical_accuracy: 0.8900 - 2s/epoch - 8ms/step
Epoch 1214/1500
313/313 - 2s - loss: 0.0991 - categorical_accuracy: 0.9655 - val_loss: 0.4538 - val_categorical_accuracy: 0.9056 - 2s/epoch - 8ms/step
Epoch 1215/1500
313/313 - 2s - loss: 0.0928 - categorical_accuracy: 0.9676 - val_loss: 0.7218 - val_categorical_accuracy: 0.8581 - 2s/epoch - 8ms/step
Epoch 1216/1500
313/313 - 2s - loss: 0.0990 - categorical_accuracy: 0.9657 - val_loss: 0.4034 - val_categorical_accuracy: 0.9169 - 2s/epoch - 8ms/step
Epoch 1217/1500
313/313 - 2s - loss: 0.0930 - categorical_accuracy: 0.9676 - val_loss: 0.3857 - val_categorical_accuracy: 0.9169 - 2s/epoch - 8ms/step
Epoch 1218/1500
313/313 - 2s - loss: 0.0903 - categorical_accuracy: 0.9681 - val_loss: 0.3720 - val_categorical_accuracy: 0.9246 - 2s/epoch - 8ms/step
Epoch 1219/1500
313/313 - 2s - loss: 0.0941 - categorical_accuracy: 0.9673 - val_loss: 0.4730 - val_categorical_accuracy: 0.9001 - 2s/epoch - 8ms/step
Epoch 1220/1500
313/313 - 2s - loss: 0.0936 - categorical_accuracy: 0.9672 - val_loss: 0.6646 - val_categorical_accuracy: 0.8563 - 2s/epoch - 8ms/step
Epoch 1221/1500
313/313 - 2s - loss: 0.0945 - categorical_accuracy: 0.9672 - val_loss: 0.3607 - val_categorical_accuracy: 0.9261 - 2s/epoch - 8ms/step
Epoch 1222/1500
313/313 - 3s - loss: 0.0921 - categorical_accuracy: 0.9676 - val_loss: 0.8420 - val_categorical_accuracy: 0.8382 - 3s/epoch - 8ms/step
Epoch 1223/1500
313/313 - 3s - loss: 0.1042 - categorical_accuracy: 0.9642 - val_loss: 0.4428 - val_categorical_accuracy: 0.9113 - 3s/epoch - 8ms/step
Epoch 1224/1500
313/313 - 3s - loss: 0.0907 - categorical_accuracy: 0.9680 - val_loss: 0.5641 - val_categorical_accuracy: 0.8775 - 3s/epoch - 8ms/step
Epoch 1225/1500
313/313 - 2s - loss: 0.0966 - categorical_accuracy: 0.9668 - val_loss: 0.3657 - val_categorical_accuracy: 0.9238 - 2s/epoch - 8ms/step
Epoch 1226/1500
313/313 - 3s - loss: 0.0951 - categorical_accuracy: 0.9670 - val_loss: 0.4200 - val_categorical_accuracy: 0.9155 - 3s/epoch - 8ms/step
Epoch 1227/1500
313/313 - 2s - loss: 0.0939 - categorical_accuracy: 0.9673 - val_loss: 0.3850 - val_categorical_accuracy: 0.9212 - 2s/epoch - 8ms/step
Epoch 1228/1500
313/313 - 2s - loss: 0.0933 - categorical_accuracy: 0.9675 - val_loss: 0.3459 - val_categorical_accuracy: 0.9267 - 2s/epoch - 8ms/step
Epoch 1229/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9684 - val_loss: 1.4990 - val_categorical_accuracy: 0.7876 - 2s/epoch - 8ms/step
Epoch 1230/1500
313/313 - 2s - loss: 0.1092 - categorical_accuracy: 0.9635 - val_loss: 0.6374 - val_categorical_accuracy: 0.8771 - 2s/epoch - 8ms/step
Epoch 1231/1500
313/313 - 2s - loss: 0.0918 - categorical_accuracy: 0.9684 - val_loss: 0.7108 - val_categorical_accuracy: 0.8509 - 2s/epoch - 8ms/step
Epoch 1232/1500
313/313 - 2s - loss: 0.1001 - categorical_accuracy: 0.9654 - val_loss: 0.4720 - val_categorical_accuracy: 0.9035 - 2s/epoch - 8ms/step
Epoch 1233/1500
313/313 - 2s - loss: 0.0910 - categorical_accuracy: 0.9680 - val_loss: 0.4086 - val_categorical_accuracy: 0.9137 - 2s/epoch - 8ms/step
Epoch 1234/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9675 - val_loss: 0.3647 - val_categorical_accuracy: 0.9250 - 2s/epoch - 8ms/step
Epoch 1235/1500
313/313 - 2s - loss: 0.0876 - categorical_accuracy: 0.9691 - val_loss: 0.3881 - val_categorical_accuracy: 0.9229 - 2s/epoch - 8ms/step
Epoch 1236/1500
313/313 - 2s - loss: 0.0906 - categorical_accuracy: 0.9684 - val_loss: 0.5896 - val_categorical_accuracy: 0.8867 - 2s/epoch - 8ms/step
Epoch 1237/1500
313/313 - 2s - loss: 0.0953 - categorical_accuracy: 0.9670 - val_loss: 0.3651 - val_categorical_accuracy: 0.9246 - 2s/epoch - 8ms/step
Epoch 1238/1500
313/313 - 3s - loss: 0.0903 - categorical_accuracy: 0.9683 - val_loss: 0.3868 - val_categorical_accuracy: 0.9231 - 3s/epoch - 8ms/step
Epoch 1239/1500
313/313 - 2s - loss: 0.0937 - categorical_accuracy: 0.9674 - val_loss: 0.4046 - val_categorical_accuracy: 0.9190 - 2s/epoch - 8ms/step
Epoch 1240/1500
313/313 - 2s - loss: 0.0928 - categorical_accuracy: 0.9676 - val_loss: 0.5442 - val_categorical_accuracy: 0.8852 - 2s/epoch - 8ms/step
Epoch 1241/1500
313/313 - 2s - loss: 0.0928 - categorical_accuracy: 0.9679 - val_loss: 0.4382 - val_categorical_accuracy: 0.9085 - 2s/epoch - 8ms/step
Epoch 1242/1500
313/313 - 2s - loss: 0.0901 - categorical_accuracy: 0.9685 - val_loss: 0.3635 - val_categorical_accuracy: 0.9249 - 2s/epoch - 8ms/step
Epoch 1243/1500
313/313 - 2s - loss: 0.0901 - categorical_accuracy: 0.9684 - val_loss: 0.4750 - val_categorical_accuracy: 0.9042 - 2s/epoch - 8ms/step
Epoch 1244/1500
313/313 - 3s - loss: 0.0923 - categorical_accuracy: 0.9676 - val_loss: 0.6997 - val_categorical_accuracy: 0.8698 - 3s/epoch - 8ms/step
Epoch 1245/1500
313/313 - 2s - loss: 0.0980 - categorical_accuracy: 0.9660 - val_loss: 0.4710 - val_categorical_accuracy: 0.8973 - 2s/epoch - 8ms/step
Epoch 1246/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9673 - val_loss: 0.5018 - val_categorical_accuracy: 0.8932 - 2s/epoch - 8ms/step
Epoch 1247/1500
313/313 - 3s - loss: 0.0938 - categorical_accuracy: 0.9668 - val_loss: 0.3580 - val_categorical_accuracy: 0.9267 - 3s/epoch - 8ms/step
Epoch 1248/1500
313/313 - 3s - loss: 0.0893 - categorical_accuracy: 0.9688 - val_loss: 0.7989 - val_categorical_accuracy: 0.8600 - 3s/epoch - 8ms/step
Epoch 1249/1500
313/313 - 2s - loss: 0.1053 - categorical_accuracy: 0.9642 - val_loss: 0.8110 - val_categorical_accuracy: 0.8441 - 2s/epoch - 8ms/step
Epoch 1250/1500
313/313 - 2s - loss: 0.1026 - categorical_accuracy: 0.9648 - val_loss: 0.4826 - val_categorical_accuracy: 0.9056 - 2s/epoch - 8ms/step
Epoch 1251/1500
313/313 - 2s - loss: 0.0951 - categorical_accuracy: 0.9667 - val_loss: 0.3738 - val_categorical_accuracy: 0.9229 - 2s/epoch - 8ms/step
Epoch 1252/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9687 - val_loss: 0.4070 - val_categorical_accuracy: 0.9179 - 2s/epoch - 8ms/step
Epoch 1253/1500
313/313 - 2s - loss: 0.0876 - categorical_accuracy: 0.9693 - val_loss: 0.3661 - val_categorical_accuracy: 0.9290 - 2s/epoch - 8ms/step
Epoch 1254/1500
313/313 - 2s - loss: 0.0887 - categorical_accuracy: 0.9689 - val_loss: 0.3577 - val_categorical_accuracy: 0.9267 - 2s/epoch - 8ms/step
Epoch 1255/1500
313/313 - 3s - loss: 0.0867 - categorical_accuracy: 0.9699 - val_loss: 0.4819 - val_categorical_accuracy: 0.8995 - 3s/epoch - 8ms/step
Epoch 1256/1500
313/313 - 2s - loss: 0.0934 - categorical_accuracy: 0.9677 - val_loss: 0.4011 - val_categorical_accuracy: 0.9167 - 2s/epoch - 8ms/step
Epoch 1257/1500
313/313 - 3s - loss: 0.0899 - categorical_accuracy: 0.9684 - val_loss: 0.3946 - val_categorical_accuracy: 0.9176 - 3s/epoch - 8ms/step
Epoch 1258/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9683 - val_loss: 1.3846 - val_categorical_accuracy: 0.7639 - 2s/epoch - 8ms/step
Epoch 1259/1500
313/313 - 3s - loss: 0.1207 - categorical_accuracy: 0.9601 - val_loss: 0.5115 - val_categorical_accuracy: 0.8864 - 3s/epoch - 8ms/step
Epoch 1260/1500
313/313 - 2s - loss: 0.0942 - categorical_accuracy: 0.9671 - val_loss: 0.3433 - val_categorical_accuracy: 0.9295 - 2s/epoch - 8ms/step
Epoch 1261/1500
313/313 - 3s - loss: 0.0900 - categorical_accuracy: 0.9684 - val_loss: 0.3666 - val_categorical_accuracy: 0.9245 - 3s/epoch - 8ms/step
Epoch 1262/1500
313/313 - 2s - loss: 0.0880 - categorical_accuracy: 0.9697 - val_loss: 0.7504 - val_categorical_accuracy: 0.8683 - 2s/epoch - 8ms/step
Epoch 1263/1500
313/313 - 2s - loss: 0.1014 - categorical_accuracy: 0.9651 - val_loss: 0.4403 - val_categorical_accuracy: 0.9048 - 2s/epoch - 8ms/step
Epoch 1264/1500
313/313 - 3s - loss: 0.0913 - categorical_accuracy: 0.9679 - val_loss: 0.4117 - val_categorical_accuracy: 0.9193 - 3s/epoch - 8ms/step
Epoch 1265/1500
313/313 - 3s - loss: 0.0897 - categorical_accuracy: 0.9687 - val_loss: 1.0863 - val_categorical_accuracy: 0.8250 - 3s/epoch - 8ms/step
Epoch 1266/1500
313/313 - 2s - loss: 0.1133 - categorical_accuracy: 0.9621 - val_loss: 0.3915 - val_categorical_accuracy: 0.9195 - 2s/epoch - 8ms/step
Epoch 1267/1500
313/313 - 3s - loss: 0.0928 - categorical_accuracy: 0.9672 - val_loss: 1.2357 - val_categorical_accuracy: 0.7865 - 3s/epoch - 8ms/step
Epoch 1268/1500
313/313 - 2s - loss: 0.1041 - categorical_accuracy: 0.9644 - val_loss: 0.4812 - val_categorical_accuracy: 0.9067 - 2s/epoch - 8ms/step
Epoch 1269/1500
313/313 - 3s - loss: 0.0905 - categorical_accuracy: 0.9683 - val_loss: 0.3698 - val_categorical_accuracy: 0.9266 - 3s/epoch - 8ms/step
Epoch 1270/1500
313/313 - 2s - loss: 0.0879 - categorical_accuracy: 0.9692 - val_loss: 0.8190 - val_categorical_accuracy: 0.8376 - 2s/epoch - 8ms/step
Epoch 1271/1500
313/313 - 2s - loss: 0.0976 - categorical_accuracy: 0.9668 - val_loss: 0.5399 - val_categorical_accuracy: 0.8804 - 2s/epoch - 8ms/step
Epoch 1272/1500
313/313 - 3s - loss: 0.0963 - categorical_accuracy: 0.9666 - val_loss: 1.0473 - val_categorical_accuracy: 0.8239 - 3s/epoch - 8ms/step
Epoch 1273/1500
313/313 - 2s - loss: 0.1030 - categorical_accuracy: 0.9649 - val_loss: 0.6221 - val_categorical_accuracy: 0.8809 - 2s/epoch - 8ms/step
Epoch 1274/1500
313/313 - 2s - loss: 0.0932 - categorical_accuracy: 0.9676 - val_loss: 0.4942 - val_categorical_accuracy: 0.8972 - 2s/epoch - 8ms/step
Epoch 1275/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9684 - val_loss: 0.4269 - val_categorical_accuracy: 0.9083 - 2s/epoch - 8ms/step
Epoch 1276/1500
313/313 - 2s - loss: 0.0936 - categorical_accuracy: 0.9672 - val_loss: 0.6176 - val_categorical_accuracy: 0.8849 - 2s/epoch - 8ms/step
Epoch 1277/1500
313/313 - 2s - loss: 0.0951 - categorical_accuracy: 0.9671 - val_loss: 0.6137 - val_categorical_accuracy: 0.8763 - 2s/epoch - 8ms/step
Epoch 1278/1500
313/313 - 2s - loss: 0.0947 - categorical_accuracy: 0.9670 - val_loss: 0.5107 - val_categorical_accuracy: 0.8909 - 2s/epoch - 8ms/step
Epoch 1279/1500
313/313 - 2s - loss: 0.0942 - categorical_accuracy: 0.9673 - val_loss: 0.3939 - val_categorical_accuracy: 0.9185 - 2s/epoch - 8ms/step
Epoch 1280/1500
313/313 - 2s - loss: 0.0873 - categorical_accuracy: 0.9691 - val_loss: 0.8254 - val_categorical_accuracy: 0.8424 - 2s/epoch - 8ms/step
Epoch 1281/1500
313/313 - 2s - loss: 0.0942 - categorical_accuracy: 0.9673 - val_loss: 0.4778 - val_categorical_accuracy: 0.9078 - 2s/epoch - 8ms/step
Epoch 1282/1500
313/313 - 3s - loss: 0.0909 - categorical_accuracy: 0.9681 - val_loss: 0.4259 - val_categorical_accuracy: 0.9096 - 3s/epoch - 8ms/step
Epoch 1283/1500
313/313 - 2s - loss: 0.0943 - categorical_accuracy: 0.9674 - val_loss: 0.3647 - val_categorical_accuracy: 0.9272 - 2s/epoch - 8ms/step
Epoch 1284/1500
313/313 - 3s - loss: 0.0902 - categorical_accuracy: 0.9686 - val_loss: 1.5301 - val_categorical_accuracy: 0.8055 - 3s/epoch - 8ms/step
Epoch 1285/1500
313/313 - 2s - loss: 0.1183 - categorical_accuracy: 0.9614 - val_loss: 0.4461 - val_categorical_accuracy: 0.8987 - 2s/epoch - 8ms/step
Epoch 1286/1500
313/313 - 2s - loss: 0.0904 - categorical_accuracy: 0.9686 - val_loss: 0.8405 - val_categorical_accuracy: 0.8508 - 2s/epoch - 8ms/step
Epoch 1287/1500
313/313 - 2s - loss: 0.0983 - categorical_accuracy: 0.9663 - val_loss: 1.2113 - val_categorical_accuracy: 0.7970 - 2s/epoch - 8ms/step
Epoch 1288/1500
313/313 - 2s - loss: 0.1085 - categorical_accuracy: 0.9625 - val_loss: 0.3863 - val_categorical_accuracy: 0.9191 - 2s/epoch - 8ms/step
Epoch 1289/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9686 - val_loss: 0.3831 - val_categorical_accuracy: 0.9208 - 2s/epoch - 8ms/step
Epoch 1290/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9687 - val_loss: 0.4429 - val_categorical_accuracy: 0.9040 - 2s/epoch - 8ms/step
Epoch 1291/1500
313/313 - 3s - loss: 0.0915 - categorical_accuracy: 0.9681 - val_loss: 0.3611 - val_categorical_accuracy: 0.9300 - 3s/epoch - 8ms/step
Epoch 1292/1500
313/313 - 3s - loss: 0.0884 - categorical_accuracy: 0.9689 - val_loss: 0.4068 - val_categorical_accuracy: 0.9231 - 3s/epoch - 8ms/step
Epoch 1293/1500
313/313 - 3s - loss: 0.0905 - categorical_accuracy: 0.9680 - val_loss: 0.3780 - val_categorical_accuracy: 0.9239 - 3s/epoch - 8ms/step
Epoch 1294/1500
313/313 - 2s - loss: 0.0922 - categorical_accuracy: 0.9671 - val_loss: 0.3772 - val_categorical_accuracy: 0.9260 - 2s/epoch - 8ms/step
Epoch 1295/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9696 - val_loss: 2.5409 - val_categorical_accuracy: 0.6828 - 2s/epoch - 8ms/step
Epoch 1296/1500
313/313 - 3s - loss: 0.2148 - categorical_accuracy: 0.9407 - val_loss: 0.3608 - val_categorical_accuracy: 0.9168 - 3s/epoch - 8ms/step
Epoch 1297/1500
313/313 - 2s - loss: 0.0902 - categorical_accuracy: 0.9685 - val_loss: 1.4856 - val_categorical_accuracy: 0.7889 - 2s/epoch - 8ms/step
Epoch 1298/1500
313/313 - 2s - loss: 0.1298 - categorical_accuracy: 0.9587 - val_loss: 0.3576 - val_categorical_accuracy: 0.9206 - 2s/epoch - 8ms/step
Epoch 1299/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9703 - val_loss: 0.7595 - val_categorical_accuracy: 0.8492 - 2s/epoch - 8ms/step
Epoch 1300/1500
313/313 - 2s - loss: 0.0898 - categorical_accuracy: 0.9684 - val_loss: 0.8710 - val_categorical_accuracy: 0.8463 - 2s/epoch - 8ms/step
Epoch 1301/1500
313/313 - 3s - loss: 0.0956 - categorical_accuracy: 0.9672 - val_loss: 0.3616 - val_categorical_accuracy: 0.9254 - 3s/epoch - 8ms/step
Epoch 1302/1500
313/313 - 2s - loss: 0.0851 - categorical_accuracy: 0.9704 - val_loss: 0.7290 - val_categorical_accuracy: 0.8634 - 2s/epoch - 8ms/step
Epoch 1303/1500
313/313 - 2s - loss: 0.0924 - categorical_accuracy: 0.9678 - val_loss: 0.8254 - val_categorical_accuracy: 0.8440 - 2s/epoch - 8ms/step
Epoch 1304/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9664 - val_loss: 0.5460 - val_categorical_accuracy: 0.8836 - 2s/epoch - 8ms/step
Epoch 1305/1500
313/313 - 3s - loss: 0.0910 - categorical_accuracy: 0.9684 - val_loss: 0.6679 - val_categorical_accuracy: 0.8678 - 3s/epoch - 8ms/step
Epoch 1306/1500
313/313 - 3s - loss: 0.0922 - categorical_accuracy: 0.9679 - val_loss: 0.3987 - val_categorical_accuracy: 0.9174 - 3s/epoch - 8ms/step
Epoch 1307/1500
313/313 - 3s - loss: 0.0859 - categorical_accuracy: 0.9700 - val_loss: 0.5700 - val_categorical_accuracy: 0.8982 - 3s/epoch - 8ms/step
Epoch 1308/1500
313/313 - 3s - loss: 0.0936 - categorical_accuracy: 0.9676 - val_loss: 0.7409 - val_categorical_accuracy: 0.8575 - 3s/epoch - 8ms/step
Epoch 1309/1500
313/313 - 2s - loss: 0.0961 - categorical_accuracy: 0.9664 - val_loss: 0.4324 - val_categorical_accuracy: 0.9097 - 2s/epoch - 8ms/step
Epoch 1310/1500
313/313 - 3s - loss: 0.0907 - categorical_accuracy: 0.9681 - val_loss: 0.6259 - val_categorical_accuracy: 0.8785 - 3s/epoch - 8ms/step
Epoch 1311/1500
313/313 - 2s - loss: 0.0957 - categorical_accuracy: 0.9667 - val_loss: 0.3915 - val_categorical_accuracy: 0.9194 - 2s/epoch - 8ms/step
Epoch 1312/1500
313/313 - 2s - loss: 0.0894 - categorical_accuracy: 0.9689 - val_loss: 0.3626 - val_categorical_accuracy: 0.9283 - 2s/epoch - 8ms/step
Epoch 1313/1500
313/313 - 2s - loss: 0.0869 - categorical_accuracy: 0.9693 - val_loss: 0.3821 - val_categorical_accuracy: 0.9280 - 2s/epoch - 8ms/step
Epoch 1314/1500
313/313 - 2s - loss: 0.0854 - categorical_accuracy: 0.9702 - val_loss: 0.6605 - val_categorical_accuracy: 0.8814 - 2s/epoch - 8ms/step
Epoch 1315/1500
313/313 - 2s - loss: 0.0962 - categorical_accuracy: 0.9672 - val_loss: 0.6943 - val_categorical_accuracy: 0.8749 - 2s/epoch - 8ms/step
Epoch 1316/1500
313/313 - 2s - loss: 0.0918 - categorical_accuracy: 0.9677 - val_loss: 0.5838 - val_categorical_accuracy: 0.8716 - 2s/epoch - 8ms/step
Epoch 1317/1500
313/313 - 3s - loss: 0.0901 - categorical_accuracy: 0.9689 - val_loss: 0.3913 - val_categorical_accuracy: 0.9224 - 3s/epoch - 8ms/step
Epoch 1318/1500
313/313 - 2s - loss: 0.0845 - categorical_accuracy: 0.9705 - val_loss: 0.3920 - val_categorical_accuracy: 0.9249 - 2s/epoch - 7ms/step
Epoch 1319/1500
313/313 - 2s - loss: 0.0890 - categorical_accuracy: 0.9688 - val_loss: 0.5727 - val_categorical_accuracy: 0.8854 - 2s/epoch - 7ms/step
Epoch 1320/1500
313/313 - 2s - loss: 0.0908 - categorical_accuracy: 0.9682 - val_loss: 0.4151 - val_categorical_accuracy: 0.9127 - 2s/epoch - 8ms/step
Epoch 1321/1500
313/313 - 2s - loss: 0.0900 - categorical_accuracy: 0.9686 - val_loss: 2.1446 - val_categorical_accuracy: 0.7753 - 2s/epoch - 7ms/step
Epoch 1322/1500
313/313 - 2s - loss: 0.1279 - categorical_accuracy: 0.9603 - val_loss: 0.6774 - val_categorical_accuracy: 0.8705 - 2s/epoch - 7ms/step
Epoch 1323/1500
313/313 - 2s - loss: 0.0967 - categorical_accuracy: 0.9665 - val_loss: 0.5627 - val_categorical_accuracy: 0.8920 - 2s/epoch - 7ms/step
Epoch 1324/1500
313/313 - 2s - loss: 0.0936 - categorical_accuracy: 0.9677 - val_loss: 0.3689 - val_categorical_accuracy: 0.9228 - 2s/epoch - 7ms/step
Epoch 1325/1500
313/313 - 2s - loss: 0.0861 - categorical_accuracy: 0.9695 - val_loss: 0.6792 - val_categorical_accuracy: 0.8654 - 2s/epoch - 7ms/step
Epoch 1326/1500
313/313 - 2s - loss: 0.0887 - categorical_accuracy: 0.9691 - val_loss: 0.4224 - val_categorical_accuracy: 0.9136 - 2s/epoch - 7ms/step
Epoch 1327/1500
313/313 - 2s - loss: 0.0860 - categorical_accuracy: 0.9696 - val_loss: 0.3604 - val_categorical_accuracy: 0.9293 - 2s/epoch - 7ms/step
Epoch 1328/1500
313/313 - 2s - loss: 0.0866 - categorical_accuracy: 0.9699 - val_loss: 0.6724 - val_categorical_accuracy: 0.8703 - 2s/epoch - 7ms/step
Epoch 1329/1500
313/313 - 2s - loss: 0.0921 - categorical_accuracy: 0.9681 - val_loss: 0.5063 - val_categorical_accuracy: 0.8961 - 2s/epoch - 7ms/step
Epoch 1330/1500
313/313 - 2s - loss: 0.0893 - categorical_accuracy: 0.9689 - val_loss: 0.5851 - val_categorical_accuracy: 0.8794 - 2s/epoch - 7ms/step
Epoch 1331/1500
313/313 - 2s - loss: 0.0955 - categorical_accuracy: 0.9672 - val_loss: 0.8598 - val_categorical_accuracy: 0.8439 - 2s/epoch - 7ms/step
Epoch 1332/1500
313/313 - 2s - loss: 0.0944 - categorical_accuracy: 0.9673 - val_loss: 0.5353 - val_categorical_accuracy: 0.8887 - 2s/epoch - 7ms/step
Epoch 1333/1500
313/313 - 2s - loss: 0.0904 - categorical_accuracy: 0.9680 - val_loss: 0.8223 - val_categorical_accuracy: 0.8595 - 2s/epoch - 7ms/step
Epoch 1334/1500
313/313 - 2s - loss: 0.1009 - categorical_accuracy: 0.9654 - val_loss: 0.3755 - val_categorical_accuracy: 0.9216 - 2s/epoch - 7ms/step
Epoch 1335/1500
313/313 - 2s - loss: 0.0875 - categorical_accuracy: 0.9690 - val_loss: 0.5340 - val_categorical_accuracy: 0.8842 - 2s/epoch - 7ms/step
Epoch 1336/1500
313/313 - 2s - loss: 0.0898 - categorical_accuracy: 0.9687 - val_loss: 0.5527 - val_categorical_accuracy: 0.8830 - 2s/epoch - 7ms/step
Epoch 1337/1500
313/313 - 2s - loss: 0.0926 - categorical_accuracy: 0.9681 - val_loss: 0.3553 - val_categorical_accuracy: 0.9287 - 2s/epoch - 7ms/step
Epoch 1338/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9698 - val_loss: 0.4685 - val_categorical_accuracy: 0.9100 - 2s/epoch - 7ms/step
Epoch 1339/1500
313/313 - 2s - loss: 0.0908 - categorical_accuracy: 0.9684 - val_loss: 3.6305 - val_categorical_accuracy: 0.6384 - 2s/epoch - 7ms/step
Epoch 1340/1500
313/313 - 2s - loss: 0.1572 - categorical_accuracy: 0.9528 - val_loss: 0.5217 - val_categorical_accuracy: 0.8898 - 2s/epoch - 7ms/step
Epoch 1341/1500
313/313 - 2s - loss: 0.0905 - categorical_accuracy: 0.9681 - val_loss: 0.3563 - val_categorical_accuracy: 0.9275 - 2s/epoch - 7ms/step
Epoch 1342/1500
313/313 - 2s - loss: 0.0841 - categorical_accuracy: 0.9707 - val_loss: 0.3669 - val_categorical_accuracy: 0.9296 - 2s/epoch - 7ms/step
Epoch 1343/1500
313/313 - 2s - loss: 0.0846 - categorical_accuracy: 0.9705 - val_loss: 1.1793 - val_categorical_accuracy: 0.8262 - 2s/epoch - 7ms/step
Epoch 1344/1500
313/313 - 2s - loss: 0.0981 - categorical_accuracy: 0.9665 - val_loss: 0.3727 - val_categorical_accuracy: 0.9273 - 2s/epoch - 7ms/step
Epoch 1345/1500
313/313 - 2s - loss: 0.0836 - categorical_accuracy: 0.9708 - val_loss: 0.7965 - val_categorical_accuracy: 0.8431 - 2s/epoch - 7ms/step
Epoch 1346/1500
313/313 - 2s - loss: 0.0970 - categorical_accuracy: 0.9668 - val_loss: 0.3815 - val_categorical_accuracy: 0.9266 - 2s/epoch - 8ms/step
Epoch 1347/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9694 - val_loss: 0.4035 - val_categorical_accuracy: 0.9127 - 2s/epoch - 8ms/step
Epoch 1348/1500
313/313 - 2s - loss: 0.0898 - categorical_accuracy: 0.9684 - val_loss: 0.5809 - val_categorical_accuracy: 0.8816 - 2s/epoch - 7ms/step
Epoch 1349/1500
313/313 - 2s - loss: 0.0982 - categorical_accuracy: 0.9661 - val_loss: 0.5991 - val_categorical_accuracy: 0.8728 - 2s/epoch - 7ms/step
Epoch 1350/1500
313/313 - 2s - loss: 0.0891 - categorical_accuracy: 0.9692 - val_loss: 1.0371 - val_categorical_accuracy: 0.8182 - 2s/epoch - 7ms/step
Epoch 1351/1500
313/313 - 2s - loss: 0.0999 - categorical_accuracy: 0.9658 - val_loss: 0.4686 - val_categorical_accuracy: 0.9148 - 2s/epoch - 7ms/step
Epoch 1352/1500
313/313 - 2s - loss: 0.0886 - categorical_accuracy: 0.9691 - val_loss: 0.3825 - val_categorical_accuracy: 0.9267 - 2s/epoch - 7ms/step
Epoch 1353/1500
313/313 - 2s - loss: 0.0844 - categorical_accuracy: 0.9704 - val_loss: 0.8927 - val_categorical_accuracy: 0.8569 - 2s/epoch - 7ms/step
Epoch 1354/1500
313/313 - 2s - loss: 0.0995 - categorical_accuracy: 0.9659 - val_loss: 0.3720 - val_categorical_accuracy: 0.9238 - 2s/epoch - 7ms/step
Epoch 1355/1500
313/313 - 2s - loss: 0.0879 - categorical_accuracy: 0.9696 - val_loss: 0.8226 - val_categorical_accuracy: 0.8460 - 2s/epoch - 7ms/step
Epoch 1356/1500
313/313 - 2s - loss: 0.0960 - categorical_accuracy: 0.9673 - val_loss: 0.3545 - val_categorical_accuracy: 0.9308 - 2s/epoch - 7ms/step
Epoch 1357/1500
313/313 - 2s - loss: 0.0893 - categorical_accuracy: 0.9686 - val_loss: 0.4558 - val_categorical_accuracy: 0.9059 - 2s/epoch - 7ms/step
Epoch 1358/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9689 - val_loss: 0.7454 - val_categorical_accuracy: 0.8681 - 2s/epoch - 7ms/step
Epoch 1359/1500
313/313 - 2s - loss: 0.0986 - categorical_accuracy: 0.9657 - val_loss: 0.8883 - val_categorical_accuracy: 0.8532 - 2s/epoch - 7ms/step
Epoch 1360/1500
313/313 - 2s - loss: 0.0954 - categorical_accuracy: 0.9669 - val_loss: 0.6256 - val_categorical_accuracy: 0.8808 - 2s/epoch - 7ms/step
Epoch 1361/1500
313/313 - 2s - loss: 0.0902 - categorical_accuracy: 0.9684 - val_loss: 0.5659 - val_categorical_accuracy: 0.8829 - 2s/epoch - 7ms/step
Epoch 1362/1500
313/313 - 2s - loss: 0.0966 - categorical_accuracy: 0.9669 - val_loss: 0.4187 - val_categorical_accuracy: 0.9141 - 2s/epoch - 7ms/step
Epoch 1363/1500
313/313 - 2s - loss: 0.0877 - categorical_accuracy: 0.9692 - val_loss: 0.3699 - val_categorical_accuracy: 0.9284 - 2s/epoch - 7ms/step
Epoch 1364/1500
313/313 - 2s - loss: 0.0866 - categorical_accuracy: 0.9697 - val_loss: 0.4371 - val_categorical_accuracy: 0.9126 - 2s/epoch - 7ms/step
Epoch 1365/1500
313/313 - 2s - loss: 0.0885 - categorical_accuracy: 0.9687 - val_loss: 0.5078 - val_categorical_accuracy: 0.9041 - 2s/epoch - 7ms/step
Epoch 1366/1500
313/313 - 2s - loss: 0.0946 - categorical_accuracy: 0.9671 - val_loss: 0.5042 - val_categorical_accuracy: 0.8942 - 2s/epoch - 7ms/step
Epoch 1367/1500
313/313 - 2s - loss: 0.0910 - categorical_accuracy: 0.9681 - val_loss: 0.9531 - val_categorical_accuracy: 0.8242 - 2s/epoch - 7ms/step
Epoch 1368/1500
313/313 - 2s - loss: 0.1007 - categorical_accuracy: 0.9660 - val_loss: 1.1057 - val_categorical_accuracy: 0.8009 - 2s/epoch - 7ms/step
Epoch 1369/1500
313/313 - 2s - loss: 0.1008 - categorical_accuracy: 0.9659 - val_loss: 0.3886 - val_categorical_accuracy: 0.9225 - 2s/epoch - 7ms/step
Epoch 1370/1500
313/313 - 2s - loss: 0.0867 - categorical_accuracy: 0.9698 - val_loss: 0.5956 - val_categorical_accuracy: 0.8872 - 2s/epoch - 7ms/step
Epoch 1371/1500
313/313 - 2s - loss: 0.0924 - categorical_accuracy: 0.9676 - val_loss: 0.3680 - val_categorical_accuracy: 0.9284 - 2s/epoch - 7ms/step
Epoch 1372/1500
313/313 - 2s - loss: 0.0860 - categorical_accuracy: 0.9697 - val_loss: 0.8071 - val_categorical_accuracy: 0.8518 - 2s/epoch - 7ms/step
Epoch 1373/1500
313/313 - 2s - loss: 0.0988 - categorical_accuracy: 0.9666 - val_loss: 0.4781 - val_categorical_accuracy: 0.9075 - 2s/epoch - 8ms/step
Epoch 1374/1500
313/313 - 2s - loss: 0.0899 - categorical_accuracy: 0.9685 - val_loss: 0.5962 - val_categorical_accuracy: 0.8826 - 2s/epoch - 7ms/step
Epoch 1375/1500
313/313 - 2s - loss: 0.0978 - categorical_accuracy: 0.9659 - val_loss: 0.8493 - val_categorical_accuracy: 0.8656 - 2s/epoch - 7ms/step
Epoch 1376/1500
313/313 - 2s - loss: 0.0971 - categorical_accuracy: 0.9672 - val_loss: 0.3900 - val_categorical_accuracy: 0.9221 - 2s/epoch - 7ms/step
Epoch 1377/1500
313/313 - 2s - loss: 0.0858 - categorical_accuracy: 0.9702 - val_loss: 0.4019 - val_categorical_accuracy: 0.9239 - 2s/epoch - 7ms/step
Epoch 1378/1500
313/313 - 2s - loss: 0.0864 - categorical_accuracy: 0.9699 - val_loss: 1.0133 - val_categorical_accuracy: 0.8069 - 2s/epoch - 7ms/step
Epoch 1379/1500
313/313 - 2s - loss: 0.0990 - categorical_accuracy: 0.9663 - val_loss: 0.6079 - val_categorical_accuracy: 0.8833 - 2s/epoch - 7ms/step
Epoch 1380/1500
313/313 - 2s - loss: 0.0924 - categorical_accuracy: 0.9680 - val_loss: 0.4091 - val_categorical_accuracy: 0.9204 - 2s/epoch - 7ms/step
Epoch 1381/1500
313/313 - 2s - loss: 0.0901 - categorical_accuracy: 0.9686 - val_loss: 0.4954 - val_categorical_accuracy: 0.9083 - 2s/epoch - 7ms/step
Epoch 1382/1500
313/313 - 2s - loss: 0.0879 - categorical_accuracy: 0.9695 - val_loss: 0.7421 - val_categorical_accuracy: 0.8440 - 2s/epoch - 7ms/step
Epoch 1383/1500
313/313 - 2s - loss: 0.0902 - categorical_accuracy: 0.9684 - val_loss: 0.3774 - val_categorical_accuracy: 0.9256 - 2s/epoch - 7ms/step
Epoch 1384/1500
313/313 - 2s - loss: 0.0876 - categorical_accuracy: 0.9694 - val_loss: 0.4889 - val_categorical_accuracy: 0.9067 - 2s/epoch - 7ms/step
Epoch 1385/1500
313/313 - 2s - loss: 0.0891 - categorical_accuracy: 0.9691 - val_loss: 0.4521 - val_categorical_accuracy: 0.9129 - 2s/epoch - 7ms/step
Epoch 1386/1500
313/313 - 2s - loss: 0.0915 - categorical_accuracy: 0.9681 - val_loss: 0.6445 - val_categorical_accuracy: 0.8759 - 2s/epoch - 8ms/step
Epoch 1387/1500
313/313 - 2s - loss: 0.0895 - categorical_accuracy: 0.9689 - val_loss: 0.6101 - val_categorical_accuracy: 0.8825 - 2s/epoch - 7ms/step
Epoch 1388/1500
313/313 - 2s - loss: 0.0945 - categorical_accuracy: 0.9671 - val_loss: 1.2864 - val_categorical_accuracy: 0.8290 - 2s/epoch - 7ms/step
Epoch 1389/1500
313/313 - 2s - loss: 0.1119 - categorical_accuracy: 0.9636 - val_loss: 0.4161 - val_categorical_accuracy: 0.9098 - 2s/epoch - 7ms/step
Epoch 1390/1500
313/313 - 2s - loss: 0.0874 - categorical_accuracy: 0.9699 - val_loss: 0.5666 - val_categorical_accuracy: 0.8916 - 2s/epoch - 7ms/step
Epoch 1391/1500
313/313 - 2s - loss: 0.0883 - categorical_accuracy: 0.9689 - val_loss: 0.4399 - val_categorical_accuracy: 0.9079 - 2s/epoch - 7ms/step
Epoch 1392/1500
313/313 - 2s - loss: 0.0875 - categorical_accuracy: 0.9696 - val_loss: 0.3801 - val_categorical_accuracy: 0.9259 - 2s/epoch - 7ms/step
Epoch 1393/1500
313/313 - 2s - loss: 0.0862 - categorical_accuracy: 0.9700 - val_loss: 0.5356 - val_categorical_accuracy: 0.8950 - 2s/epoch - 7ms/step
Epoch 1394/1500
313/313 - 2s - loss: 0.0893 - categorical_accuracy: 0.9693 - val_loss: 0.5287 - val_categorical_accuracy: 0.8958 - 2s/epoch - 7ms/step
Epoch 1395/1500
313/313 - 2s - loss: 0.0948 - categorical_accuracy: 0.9674 - val_loss: 0.4369 - val_categorical_accuracy: 0.9131 - 2s/epoch - 7ms/step
Epoch 1396/1500
313/313 - 2s - loss: 0.0898 - categorical_accuracy: 0.9683 - val_loss: 0.5379 - val_categorical_accuracy: 0.8923 - 2s/epoch - 7ms/step
Epoch 1397/1500
313/313 - 2s - loss: 0.0892 - categorical_accuracy: 0.9688 - val_loss: 1.4441 - val_categorical_accuracy: 0.7911 - 2s/epoch - 7ms/step
Epoch 1398/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9668 - val_loss: 0.4157 - val_categorical_accuracy: 0.9171 - 2s/epoch - 7ms/step
Epoch 1399/1500
313/313 - 2s - loss: 0.0871 - categorical_accuracy: 0.9696 - val_loss: 0.4027 - val_categorical_accuracy: 0.9246 - 2s/epoch - 8ms/step
Epoch 1400/1500
313/313 - 2s - loss: 0.0840 - categorical_accuracy: 0.9709 - val_loss: 0.3726 - val_categorical_accuracy: 0.9265 - 2s/epoch - 7ms/step
Epoch 1401/1500
313/313 - 2s - loss: 0.0857 - categorical_accuracy: 0.9700 - val_loss: 0.6086 - val_categorical_accuracy: 0.8892 - 2s/epoch - 7ms/step
Epoch 1402/1500
313/313 - 2s - loss: 0.0905 - categorical_accuracy: 0.9682 - val_loss: 0.6921 - val_categorical_accuracy: 0.8744 - 2s/epoch - 7ms/step
Epoch 1403/1500
313/313 - 2s - loss: 0.0949 - categorical_accuracy: 0.9672 - val_loss: 0.6548 - val_categorical_accuracy: 0.8755 - 2s/epoch - 7ms/step
Epoch 1404/1500
313/313 - 2s - loss: 0.0938 - categorical_accuracy: 0.9671 - val_loss: 0.3960 - val_categorical_accuracy: 0.9197 - 2s/epoch - 7ms/step
Epoch 1405/1500
313/313 - 2s - loss: 0.0837 - categorical_accuracy: 0.9709 - val_loss: 0.9257 - val_categorical_accuracy: 0.8180 - 2s/epoch - 7ms/step
Epoch 1406/1500
313/313 - 2s - loss: 0.0948 - categorical_accuracy: 0.9673 - val_loss: 13.9639 - val_categorical_accuracy: 0.4364 - 2s/epoch - 7ms/step
Epoch 1407/1500
313/313 - 2s - loss: 0.9132 - categorical_accuracy: 0.7348 - val_loss: 0.6777 - val_categorical_accuracy: 0.7813 - 2s/epoch - 7ms/step
Epoch 1408/1500
313/313 - 2s - loss: 0.3492 - categorical_accuracy: 0.8779 - val_loss: 0.4882 - val_categorical_accuracy: 0.8494 - 2s/epoch - 7ms/step
Epoch 1409/1500
313/313 - 2s - loss: 0.2583 - categorical_accuracy: 0.9105 - val_loss: 2.9570 - val_categorical_accuracy: 0.5104 - 2s/epoch - 7ms/step
Epoch 1410/1500
313/313 - 2s - loss: 0.2917 - categorical_accuracy: 0.9050 - val_loss: 0.3743 - val_categorical_accuracy: 0.8850 - 2s/epoch - 7ms/step
Epoch 1411/1500
313/313 - 2s - loss: 0.2076 - categorical_accuracy: 0.9287 - val_loss: 0.4204 - val_categorical_accuracy: 0.8751 - 2s/epoch - 7ms/step
Epoch 1412/1500
313/313 - 2s - loss: 0.1898 - categorical_accuracy: 0.9343 - val_loss: 0.4069 - val_categorical_accuracy: 0.8925 - 2s/epoch - 7ms/step
Epoch 1413/1500
313/313 - 2s - loss: 0.1773 - categorical_accuracy: 0.9387 - val_loss: 0.3588 - val_categorical_accuracy: 0.9038 - 2s/epoch - 7ms/step
Epoch 1414/1500
313/313 - 2s - loss: 0.1690 - categorical_accuracy: 0.9418 - val_loss: 0.5800 - val_categorical_accuracy: 0.8454 - 2s/epoch - 7ms/step
Epoch 1415/1500
313/313 - 2s - loss: 0.1649 - categorical_accuracy: 0.9433 - val_loss: 0.4419 - val_categorical_accuracy: 0.8704 - 2s/epoch - 7ms/step
Epoch 1416/1500
313/313 - 2s - loss: 0.1569 - categorical_accuracy: 0.9457 - val_loss: 0.3494 - val_categorical_accuracy: 0.8988 - 2s/epoch - 7ms/step
Epoch 1417/1500
313/313 - 2s - loss: 0.1532 - categorical_accuracy: 0.9469 - val_loss: 0.5402 - val_categorical_accuracy: 0.8731 - 2s/epoch - 7ms/step
Epoch 1418/1500
313/313 - 2s - loss: 0.1502 - categorical_accuracy: 0.9480 - val_loss: 0.4197 - val_categorical_accuracy: 0.8836 - 2s/epoch - 7ms/step
Epoch 1419/1500
313/313 - 2s - loss: 0.1488 - categorical_accuracy: 0.9486 - val_loss: 0.3791 - val_categorical_accuracy: 0.9010 - 2s/epoch - 8ms/step
Epoch 1420/1500
313/313 - 2s - loss: 0.1424 - categorical_accuracy: 0.9503 - val_loss: 0.8769 - val_categorical_accuracy: 0.8470 - 2s/epoch - 7ms/step
Epoch 1421/1500
313/313 - 2s - loss: 0.1446 - categorical_accuracy: 0.9501 - val_loss: 0.4704 - val_categorical_accuracy: 0.8762 - 2s/epoch - 7ms/step
Epoch 1422/1500
313/313 - 2s - loss: 0.1367 - categorical_accuracy: 0.9524 - val_loss: 0.4116 - val_categorical_accuracy: 0.8956 - 2s/epoch - 7ms/step
Epoch 1423/1500
313/313 - 2s - loss: 0.1350 - categorical_accuracy: 0.9531 - val_loss: 0.3669 - val_categorical_accuracy: 0.9068 - 2s/epoch - 7ms/step
Epoch 1424/1500
313/313 - 2s - loss: 0.1318 - categorical_accuracy: 0.9541 - val_loss: 0.8794 - val_categorical_accuracy: 0.8129 - 2s/epoch - 7ms/step
Epoch 1425/1500
313/313 - 2s - loss: 0.1452 - categorical_accuracy: 0.9504 - val_loss: 0.5550 - val_categorical_accuracy: 0.8643 - 2s/epoch - 8ms/step
Epoch 1426/1500
313/313 - 2s - loss: 0.1315 - categorical_accuracy: 0.9537 - val_loss: 0.4780 - val_categorical_accuracy: 0.8826 - 2s/epoch - 7ms/step
Epoch 1427/1500
313/313 - 2s - loss: 0.1311 - categorical_accuracy: 0.9547 - val_loss: 0.6331 - val_categorical_accuracy: 0.8408 - 2s/epoch - 7ms/step
Epoch 1428/1500
313/313 - 2s - loss: 0.1297 - categorical_accuracy: 0.9548 - val_loss: 0.4815 - val_categorical_accuracy: 0.8844 - 2s/epoch - 7ms/step
Epoch 1429/1500
313/313 - 2s - loss: 0.1255 - categorical_accuracy: 0.9562 - val_loss: 0.9525 - val_categorical_accuracy: 0.7990 - 2s/epoch - 7ms/step
Epoch 1430/1500
313/313 - 2s - loss: 0.1364 - categorical_accuracy: 0.9530 - val_loss: 0.4790 - val_categorical_accuracy: 0.8828 - 2s/epoch - 7ms/step
Epoch 1431/1500
313/313 - 2s - loss: 0.1235 - categorical_accuracy: 0.9568 - val_loss: 0.3838 - val_categorical_accuracy: 0.9130 - 2s/epoch - 7ms/step
Epoch 1432/1500
313/313 - 2s - loss: 0.1205 - categorical_accuracy: 0.9580 - val_loss: 0.6227 - val_categorical_accuracy: 0.8736 - 2s/epoch - 7ms/step
Epoch 1433/1500
313/313 - 2s - loss: 0.1234 - categorical_accuracy: 0.9573 - val_loss: 0.3547 - val_categorical_accuracy: 0.9108 - 2s/epoch - 7ms/step
Epoch 1434/1500
313/313 - 2s - loss: 0.1169 - categorical_accuracy: 0.9591 - val_loss: 0.6254 - val_categorical_accuracy: 0.8465 - 2s/epoch - 7ms/step
Epoch 1435/1500
313/313 - 2s - loss: 0.1207 - categorical_accuracy: 0.9588 - val_loss: 0.3830 - val_categorical_accuracy: 0.9092 - 2s/epoch - 7ms/step
Epoch 1436/1500
313/313 - 2s - loss: 0.1152 - categorical_accuracy: 0.9595 - val_loss: 0.4411 - val_categorical_accuracy: 0.9061 - 2s/epoch - 7ms/step
Epoch 1437/1500
313/313 - 2s - loss: 0.1176 - categorical_accuracy: 0.9586 - val_loss: 0.3712 - val_categorical_accuracy: 0.9076 - 2s/epoch - 7ms/step
Epoch 1438/1500
313/313 - 2s - loss: 0.1145 - categorical_accuracy: 0.9597 - val_loss: 0.7709 - val_categorical_accuracy: 0.8402 - 2s/epoch - 7ms/step
Epoch 1439/1500
313/313 - 2s - loss: 0.1200 - categorical_accuracy: 0.9581 - val_loss: 0.3491 - val_categorical_accuracy: 0.9222 - 2s/epoch - 7ms/step
Epoch 1440/1500
313/313 - 2s - loss: 0.1134 - categorical_accuracy: 0.9604 - val_loss: 0.4970 - val_categorical_accuracy: 0.8962 - 2s/epoch - 7ms/step
Epoch 1441/1500
313/313 - 2s - loss: 0.1124 - categorical_accuracy: 0.9606 - val_loss: 0.4542 - val_categorical_accuracy: 0.9070 - 2s/epoch - 7ms/step
Epoch 1442/1500
313/313 - 2s - loss: 0.1162 - categorical_accuracy: 0.9596 - val_loss: 1.1210 - val_categorical_accuracy: 0.7910 - 2s/epoch - 7ms/step
Epoch 1443/1500
313/313 - 2s - loss: 0.1212 - categorical_accuracy: 0.9579 - val_loss: 0.3952 - val_categorical_accuracy: 0.9113 - 2s/epoch - 7ms/step
Epoch 1444/1500
313/313 - 2s - loss: 0.1146 - categorical_accuracy: 0.9597 - val_loss: 0.5893 - val_categorical_accuracy: 0.8695 - 2s/epoch - 7ms/step
Epoch 1445/1500
313/313 - 2s - loss: 0.1152 - categorical_accuracy: 0.9593 - val_loss: 0.5774 - val_categorical_accuracy: 0.8868 - 2s/epoch - 7ms/step
Epoch 1446/1500
313/313 - 2s - loss: 0.1136 - categorical_accuracy: 0.9610 - val_loss: 0.4439 - val_categorical_accuracy: 0.8954 - 2s/epoch - 7ms/step
Epoch 1447/1500
313/313 - 2s - loss: 0.1105 - categorical_accuracy: 0.9610 - val_loss: 0.5424 - val_categorical_accuracy: 0.8753 - 2s/epoch - 7ms/step
Epoch 1448/1500
313/313 - 2s - loss: 0.1116 - categorical_accuracy: 0.9613 - val_loss: 0.5101 - val_categorical_accuracy: 0.8904 - 2s/epoch - 7ms/step
Epoch 1449/1500
313/313 - 2s - loss: 0.1104 - categorical_accuracy: 0.9616 - val_loss: 0.6147 - val_categorical_accuracy: 0.8697 - 2s/epoch - 7ms/step
Epoch 1450/1500
313/313 - 2s - loss: 0.1160 - categorical_accuracy: 0.9601 - val_loss: 0.3521 - val_categorical_accuracy: 0.9217 - 2s/epoch - 7ms/step
Epoch 1451/1500
313/313 - 2s - loss: 0.1070 - categorical_accuracy: 0.9623 - val_loss: 0.5425 - val_categorical_accuracy: 0.8836 - 2s/epoch - 8ms/step
Epoch 1452/1500
313/313 - 2s - loss: 0.1108 - categorical_accuracy: 0.9612 - val_loss: 0.9984 - val_categorical_accuracy: 0.8532 - 2s/epoch - 7ms/step
Epoch 1453/1500
313/313 - 2s - loss: 0.1159 - categorical_accuracy: 0.9604 - val_loss: 0.7375 - val_categorical_accuracy: 0.8435 - 2s/epoch - 7ms/step
Epoch 1454/1500
313/313 - 2s - loss: 0.1120 - categorical_accuracy: 0.9609 - val_loss: 0.5080 - val_categorical_accuracy: 0.8872 - 2s/epoch - 8ms/step
Epoch 1455/1500
313/313 - 2s - loss: 0.1128 - categorical_accuracy: 0.9606 - val_loss: 0.5530 - val_categorical_accuracy: 0.8764 - 2s/epoch - 7ms/step
Epoch 1456/1500
313/313 - 2s - loss: 0.1222 - categorical_accuracy: 0.9581 - val_loss: 0.3419 - val_categorical_accuracy: 0.9243 - 2s/epoch - 7ms/step
Epoch 1457/1500
313/313 - 2s - loss: 0.1077 - categorical_accuracy: 0.9626 - val_loss: 0.4041 - val_categorical_accuracy: 0.9032 - 2s/epoch - 7ms/step
Epoch 1458/1500
313/313 - 2s - loss: 0.1050 - categorical_accuracy: 0.9636 - val_loss: 0.4656 - val_categorical_accuracy: 0.8984 - 2s/epoch - 7ms/step
Epoch 1459/1500
313/313 - 2s - loss: 0.1048 - categorical_accuracy: 0.9633 - val_loss: 0.3412 - val_categorical_accuracy: 0.9232 - 2s/epoch - 7ms/step
Epoch 1460/1500
313/313 - 2s - loss: 0.1059 - categorical_accuracy: 0.9626 - val_loss: 0.3709 - val_categorical_accuracy: 0.9212 - 2s/epoch - 7ms/step
Epoch 1461/1500
313/313 - 2s - loss: 0.1016 - categorical_accuracy: 0.9642 - val_loss: 0.4164 - val_categorical_accuracy: 0.9073 - 2s/epoch - 7ms/step
Epoch 1462/1500
313/313 - 2s - loss: 0.1076 - categorical_accuracy: 0.9623 - val_loss: 0.4648 - val_categorical_accuracy: 0.9013 - 2s/epoch - 7ms/step
Epoch 1463/1500
313/313 - 2s - loss: 0.1069 - categorical_accuracy: 0.9627 - val_loss: 0.5041 - val_categorical_accuracy: 0.8832 - 2s/epoch - 7ms/step
Epoch 1464/1500
313/313 - 2s - loss: 0.1049 - categorical_accuracy: 0.9631 - val_loss: 0.5403 - val_categorical_accuracy: 0.8798 - 2s/epoch - 7ms/step
Epoch 1465/1500
313/313 - 2s - loss: 0.1060 - categorical_accuracy: 0.9632 - val_loss: 0.3524 - val_categorical_accuracy: 0.9261 - 2s/epoch - 7ms/step
Epoch 1466/1500
313/313 - 2s - loss: 0.1023 - categorical_accuracy: 0.9640 - val_loss: 0.3414 - val_categorical_accuracy: 0.9259 - 2s/epoch - 7ms/step
Epoch 1467/1500
313/313 - 2s - loss: 0.1011 - categorical_accuracy: 0.9647 - val_loss: 0.6738 - val_categorical_accuracy: 0.8649 - 2s/epoch - 7ms/step
Epoch 1468/1500
313/313 - 2s - loss: 0.1071 - categorical_accuracy: 0.9632 - val_loss: 0.5809 - val_categorical_accuracy: 0.8659 - 2s/epoch - 7ms/step
Epoch 1469/1500
313/313 - 2s - loss: 0.1086 - categorical_accuracy: 0.9625 - val_loss: 0.3956 - val_categorical_accuracy: 0.9128 - 2s/epoch - 7ms/step
Epoch 1470/1500
313/313 - 2s - loss: 0.1042 - categorical_accuracy: 0.9636 - val_loss: 0.8266 - val_categorical_accuracy: 0.8360 - 2s/epoch - 7ms/step
Epoch 1471/1500
313/313 - 2s - loss: 0.1139 - categorical_accuracy: 0.9603 - val_loss: 0.4002 - val_categorical_accuracy: 0.9135 - 2s/epoch - 7ms/step
Epoch 1472/1500
313/313 - 2s - loss: 0.1030 - categorical_accuracy: 0.9642 - val_loss: 1.1978 - val_categorical_accuracy: 0.7720 - 2s/epoch - 7ms/step
Epoch 1473/1500
313/313 - 2s - loss: 0.1259 - categorical_accuracy: 0.9583 - val_loss: 0.3915 - val_categorical_accuracy: 0.9110 - 2s/epoch - 7ms/step
Epoch 1474/1500
313/313 - 2s - loss: 0.1025 - categorical_accuracy: 0.9642 - val_loss: 0.9337 - val_categorical_accuracy: 0.8289 - 2s/epoch - 7ms/step
Epoch 1475/1500
313/313 - 2s - loss: 0.1092 - categorical_accuracy: 0.9627 - val_loss: 0.4333 - val_categorical_accuracy: 0.9055 - 2s/epoch - 7ms/step
Epoch 1476/1500
313/313 - 2s - loss: 0.0993 - categorical_accuracy: 0.9653 - val_loss: 0.3746 - val_categorical_accuracy: 0.9137 - 2s/epoch - 7ms/step
Epoch 1477/1500
313/313 - 2s - loss: 0.0994 - categorical_accuracy: 0.9652 - val_loss: 1.3919 - val_categorical_accuracy: 0.7944 - 2s/epoch - 7ms/step
Epoch 1478/1500
313/313 - 2s - loss: 0.1155 - categorical_accuracy: 0.9610 - val_loss: 0.4391 - val_categorical_accuracy: 0.9040 - 2s/epoch - 8ms/step
Epoch 1479/1500
313/313 - 3s - loss: 0.1036 - categorical_accuracy: 0.9638 - val_loss: 0.6093 - val_categorical_accuracy: 0.8784 - 3s/epoch - 9ms/step
Epoch 1480/1500
313/313 - 2s - loss: 0.1117 - categorical_accuracy: 0.9616 - val_loss: 0.6694 - val_categorical_accuracy: 0.8545 - 2s/epoch - 8ms/step
Epoch 1481/1500
313/313 - 2s - loss: 0.1032 - categorical_accuracy: 0.9641 - val_loss: 0.4771 - val_categorical_accuracy: 0.8908 - 2s/epoch - 7ms/step
Epoch 1482/1500
313/313 - 2s - loss: 0.1017 - categorical_accuracy: 0.9643 - val_loss: 0.4949 - val_categorical_accuracy: 0.8936 - 2s/epoch - 7ms/step
Epoch 1483/1500
313/313 - 2s - loss: 0.1018 - categorical_accuracy: 0.9646 - val_loss: 0.5618 - val_categorical_accuracy: 0.8730 - 2s/epoch - 7ms/step
Epoch 1484/1500
313/313 - 2s - loss: 0.1012 - categorical_accuracy: 0.9647 - val_loss: 0.4999 - val_categorical_accuracy: 0.8899 - 2s/epoch - 7ms/step
Epoch 1485/1500
313/313 - 2s - loss: 0.0999 - categorical_accuracy: 0.9654 - val_loss: 0.4559 - val_categorical_accuracy: 0.9070 - 2s/epoch - 7ms/step
Epoch 1486/1500
313/313 - 2s - loss: 0.1009 - categorical_accuracy: 0.9647 - val_loss: 0.4161 - val_categorical_accuracy: 0.9152 - 2s/epoch - 7ms/step
Epoch 1487/1500
313/313 - 2s - loss: 0.0985 - categorical_accuracy: 0.9655 - val_loss: 0.4233 - val_categorical_accuracy: 0.9063 - 2s/epoch - 7ms/step
Epoch 1488/1500
313/313 - 2s - loss: 0.1002 - categorical_accuracy: 0.9651 - val_loss: 1.6951 - val_categorical_accuracy: 0.7741 - 2s/epoch - 7ms/step
Epoch 1489/1500
313/313 - 2s - loss: 0.1196 - categorical_accuracy: 0.9599 - val_loss: 0.5764 - val_categorical_accuracy: 0.8725 - 2s/epoch - 7ms/step
Epoch 1490/1500
313/313 - 2s - loss: 0.1029 - categorical_accuracy: 0.9643 - val_loss: 0.4246 - val_categorical_accuracy: 0.9131 - 2s/epoch - 7ms/step
Epoch 1491/1500
313/313 - 2s - loss: 0.0977 - categorical_accuracy: 0.9660 - val_loss: 1.1358 - val_categorical_accuracy: 0.7856 - 2s/epoch - 7ms/step
Epoch 1492/1500
313/313 - 2s - loss: 0.1150 - categorical_accuracy: 0.9610 - val_loss: 0.6204 - val_categorical_accuracy: 0.8715 - 2s/epoch - 8ms/step
Epoch 1493/1500
313/313 - 2s - loss: 0.1012 - categorical_accuracy: 0.9648 - val_loss: 0.4938 - val_categorical_accuracy: 0.8924 - 2s/epoch - 7ms/step
Epoch 1494/1500
313/313 - 2s - loss: 0.0990 - categorical_accuracy: 0.9656 - val_loss: 0.4725 - val_categorical_accuracy: 0.9017 - 2s/epoch - 7ms/step
Epoch 1495/1500
313/313 - 2s - loss: 0.0994 - categorical_accuracy: 0.9652 - val_loss: 0.3721 - val_categorical_accuracy: 0.9228 - 2s/epoch - 7ms/step
Epoch 1496/1500
313/313 - 2s - loss: 0.0971 - categorical_accuracy: 0.9662 - val_loss: 2.0362 - val_categorical_accuracy: 0.7107 - 2s/epoch - 7ms/step
Epoch 1497/1500
313/313 - 2s - loss: 0.2466 - categorical_accuracy: 0.9319 - val_loss: 0.4879 - val_categorical_accuracy: 0.8896 - 2s/epoch - 7ms/step
Epoch 1498/1500
313/313 - 2s - loss: 0.1036 - categorical_accuracy: 0.9639 - val_loss: 0.4862 - val_categorical_accuracy: 0.8856 - 2s/epoch - 7ms/step
Epoch 1499/1500
313/313 - 2s - loss: 0.0979 - categorical_accuracy: 0.9659 - val_loss: 0.4188 - val_categorical_accuracy: 0.9012 - 2s/epoch - 8ms/step
Epoch 1500/1500
313/313 - 2s - loss: 0.0933 - categorical_accuracy: 0.9678 - val_loss: 0.4078 - val_categorical_accuracy: 0.9068 - 2s/epoch - 8ms/step

#reticulate::py_last_error()

#We can then compute the average of the per-epoch ACC scores for all folds:

average_acc_history <- data.frame(
  epoch = seq(1:ncol(all_acc_histories)),
  validation_acc = apply(all_acc_histories, 2, mean)
)


max(average_acc_history$validation_acc)

[1] 0.9300917

library(ggplot2)
ggplot(average_acc_history, aes(x = epoch, y = validation_acc)) + geom_line()

#It may be a bit hard to see the plot due to scaling issues and relatively high variance. Let's use `geom_smooth()` to try to get a clearer picture:
ggplot(average_acc_history, aes(x = epoch, y = validation_acc)) + geom_smooth()

# Evaluate on Testset
eval <- evaluate(model, test_data, test_targets, verbose = 1)

  1/423 [..............................] - ETA: 9s - loss: 2.7656 - categorical_accuracy: 0.7500
 14/423 [..............................] - ETA: 1s - loss: 3.0893 - categorical_accuracy: 0.6027
 31/423 [=>............................] - ETA: 1s - loss: 2.8932 - categorical_accuracy: 0.6179
 48/423 [==>...........................] - ETA: 1s - loss: 2.7008 - categorical_accuracy: 0.6335
 65/423 [===>..........................] - ETA: 1s - loss: 2.7026 - categorical_accuracy: 0.6313
 85/423 [=====>........................] - ETA: 1s - loss: 2.6551 - categorical_accuracy: 0.6349
116/423 [=======>......................] - ETA: 0s - loss: 2.7480 - categorical_accuracy: 0.6387
146/423 [=========>....................] - ETA: 0s - loss: 2.7731 - categorical_accuracy: 0.6432
176/423 [===========>..................] - ETA: 0s - loss: 2.7428 - categorical_accuracy: 0.6436
205/423 [=============>................] - ETA: 0s - loss: 2.7776 - categorical_accuracy: 0.6444
234/423 [===============>..............] - ETA: 0s - loss: 2.7851 - categorical_accuracy: 0.6420
264/423 [=================>............] - ETA: 0s - loss: 2.7700 - categorical_accuracy: 0.6419
294/423 [===================>..........] - ETA: 0s - loss: 2.7902 - categorical_accuracy: 0.6416
324/423 [=====================>........] - ETA: 0s - loss: 2.7719 - categorical_accuracy: 0.6432
354/423 [========================>.....] - ETA: 0s - loss: 2.7906 - categorical_accuracy: 0.6413
384/423 [==========================>...] - ETA: 0s - loss: 2.7691 - categorical_accuracy: 0.6427
413/423 [============================>.] - ETA: 0s - loss: 2.7634 - categorical_accuracy: 0.6435
423/423 [==============================] - 1s 2ms/step - loss: 2.7592 - categorical_accuracy: 0.6444

423/423 [==============================] - 1s 2ms/step - loss: 2.7592 - categorical_accuracy: 0.6444

eval

                loss categorical_accuracy 
           2.7591918            0.6443837 

# Save model and history, please change the name
# write.csv(average_acc_history, "../Doc/Versuch 7 - 6 Layer Smote/Try 7.csv", row.names=FALSE)
# save_model_hdf5(model, "../Doc/Versuch 7 - 6 Layer Smote/model 7.hfd5", overwrite = TRUE, include_optimizer = TRUE)

# Load model
# Use model_history as precaution
# model_history <- load_model_hdf5("../Doc/Versuch 6/model 6.hfd5", custom_objects = NULL, compile = TRUE)